西安电子科技大学电子工程学院导师教师师资介绍简介-郑喆坤

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基本信息
郑喆坤教授, 博士生导师
Born Again Christian
“华山****”****

招生电话：**
电子邮箱：zhengzk@xidian.edu.cn
cheolkon.jung@gmail.com
办公地点：北校区（太白南路2号）
红楼3楼320室
工作单位：电子工程学院

招生学科 (博士、硕士）
2022年招生：
信息与通信工程(学术)- 有名额；
控制科学与工程(学术)- 有名额；
电子与通信工程(专硕)- 有名额；
研究方向:
(1) 图像和视频处理、分析& 理解
(2) 计算机视觉& 模式识别& 机器学习
(3) 高级语义视频检索 & 数据内容安全
(4) 计算摄影 & 3DTV 技术
(5) 人眼感知的视频编码技术
(6) 深度学习与机器智能 (2015至今)

联系方式
西电媒体实验室
学科: 新数字媒体与通信技术
平台: 新一代数字媒体国际合作基地
地点: 红楼3楼302室至328室

诚聘师资博士后,讲师,副教授,教授

个人简介
简历（以信得義）
1995年,1997年和2002年获得韩国成均馆大学学士，硕士，博士学位 (导师: Prof. Joongkyu Kim)；
2002年至2007年,任韩国三星电子公司高级工程师；
2007年至2009年,任韩国成均馆大学研究教授；
2009年被选为“青年科****中韩交流项目”访问****来我校从事国际合作研究；
2010年被选为“陕西省****”；
2011年入选为首批"海外高层次人才引进计划";
2013年荣获中国永久居留权 (国籍同等的待遇);
2014年入选我校首批“华山青年****(Xidian Young-Fellow)";
2015年4月担任“西电媒体实验室 (陕西省国际合作基地、全球性ICT人才培养单位)"主任;
2016年2月-3月,7月-8月美国密歇根大学(安娜堡)访问****;
2018年7月-8月美国密苏里大学(堪萨斯城)访问****;
2018年11月担任“新数字媒体与通信技术”学科主任;
2020年1月聘任“华山****”**** (Huashan Distinguished University Professor)。
头版头条
第十届硕士的"LifeandVision"研讨会
-时间：2021年6月18日(星期五)上午10点
-地点：办公楼3楼302(媒体实验室会议室)
西电媒体实验室第十届硕士学位答辩会
- 时间：2021年5月26日上午9点至11点半
- 地点：北校区办公楼(红楼)3楼302室
第三次"AI智能视频监控"国际研讨会
- 时间：2020年1月16日（星期四）下午4点
- 地点：会议室（红楼315室）
西电媒体实验室入选"全球性ICT人才培养单位":link
合作单位：成均馆大学、全南大学
柯鹏硕士获第四届“工程硕士实习实践优秀成果获得者”荣誉:link
西电举行首批“****”郑喆坤聘期工作报告会:link
西电郑喆坤团队获中兴通讯产学研优秀合作项目奖:link
西电新增两个陕西省国际科技合作基地:link
西电博士生孙天获全国博士生年会优秀论文奖:link
西安电子科技大学媒体实验室成立暨揭牌仪式举行:link

研究亮点

研究方向与成员

基本信息
郑喆坤教授, 博士生导师
Born Again Christian
“华山****”****

新闻
"Open Lab at South Campus (实验室开放日, 2021.4.29)"
(2021-6-26) 常亚坤博士发表SCI论文
论文题目：FinerPCN: High Fidelity Point Cloud Completion Network Using Pointwise Convolution
Neurocomputing (IF: 4.438)

(2021-5-21)两篇文章被IEEE ICIP 2021上录用
1）Progressive Face Super-Resolution with Non-ParametricFacial Prior Enhancement (国际研究生JonghyunKim)
2）Subband Adaptive Enhancement of Low Light Images Using Wavelet-Based Convolutional Neural Networks
（硕士生姬喆）
详情：https://2021.ieeeicip.org/Papers/AcceptedPapers.asp

(2021-5-18) 苏浩楠博士发表SCI论文
论文题目：Multi-Spectral Fusion and Denoising of Color and Near-Infrared Images Using Multi-Scale Wavelet analysis
Sensors (IF: 3.275)
详情：https://doi.org/10.3390/s**

(2021-5-16) 国际研究生JonghyunKim发表高水平SCI论文
论文题目：Weakly Supervised Temporal Attention 3D Network for Human Action Recognition
Pattern Recognition (IF: 7.196)
详情：https://doi.org/10.1016/j.patcog.2021.108068

(2021-4-29) Open Lab at South Campus(实验室开放日)
- 地点：南校区图书馆前

(2021-4-2) 硕士生齐占元发表SCI论文
论文题目：Subband Adaptive Image Deblocking Using Wavelet Based Convolutional Neural Networks
IEEE Access (IF: 3.745)
详情：http://dx.doi.org/10.1109/ACCESS.2021.**

(2021-3-14) 国际研究生JonghyunKim发表SCI论文
论文题目：Edge and Identity Preserving Network for Face Super-Resolution
Neurocomputing (IF: 4.438)
详情：https://doi.org/10.1016/j.neucom.2021.03.048

(2020-12-28) 刘杰硕士发表SCI论文
论文题目：Facial Image Inpainting Using Attention-Based Multi-Level Generative Network
Neurocomputing (IF: 4.438)
详情：https://doi.org/10.1016/j.neucom.2020.12.118

(2020-12-5) 孙天博士(Amazing Grace), 王枫桥和刘璐 (Media Lab Warriors) 进入VCIP 2020 - Grand Challenge
孙天博士:第三
王枫桥和刘璐: 第五
详情：http://www.vcip2020.org/grand_challenge.htm

(2020-12-4) 博士生常亚坤通过博士学位答辩

(2020-11-30) 苏浩楠博士发表高水平SCI论文
论文题目：Joint Contrast Enhancement and Noise Reduction of Low Light Images Via JND Transform
IEEE Transactions on Multimedia(IF: 6.051)
详情：https://doi.org/10.1109/TMM.2020.**

(2020-11-10)两篇文章被IEEE VCIP 2020上录用
1）NIR Image Colorization Using SPADE Generator and Grayscale Approximated Self-Reconstruction （孙天博士）
2）Deep Near Infrared Colorization with Semantic Segmentation and Transfer Learning （硕士生王枫桥和博士生刘璐）

(2020-11-1) 简萌博士发表高水平SCI论文
论文题目：Semi-Supervised Kernel Matrix Learning Using Adaptive Constraint-Based Seed Propagation
Pattern Recognition (IF: 7.196)
详情：https://doi.org/10.1016/j.patcog.2020.107750

(2020-10-10) 梅琳硕士的论文被ICPR2020上录用
论文题目：Deep Fusion of RGB and NIR Paired Images Using Convolutional Neural Networks
详情：Paper ID - 1887https://www.micc.unifi.it/icpr2020/index.php/second-round-review-results/

(2020-9-6) 周凯龙硕士发表SCI论文
论文题目：Scale-Aware Multispectral Fusion of RGB and NIR Images Based on Alternating Guidance
IEEE Access (IF: 3.745)
详情：https://doi.org/10.1109/ACCESS.2020.**

(2020-8-31) 博士生Mr. Seongmin Hwang的论文被SMA 2020上录用（口头报告）
论文题目：Attention-Aware Linear Depthwise Convolution for Single Image Super-Resolution
详情：https://sma-2020.github.io/accepted_papers/

(2020-8-22) 博士生常亚坤发表SCI论文
论文题目：Automatic Cardiac MRI Segmentation and Permutation-Invariant Pathology Classification
Using Deep Neural Networks and Point Clouds
Neurocomputing (IF: 4.438)
详情：https://doi.org/10.1016/j.neucom.2020.08.030

(2020-8-7) 博士生孙天通过博士学位论文答辩

(2020-7-16) 卫泽明硕士发表SCI论文
论文题目：RegiNet: Gradient Guided Multispectral Image Registration Using Convolutional Neural Networks
Neurocomputing (IF: 4.438)
详情：https://doi.org/10.1016/j.neucom.2020.07.066

(2020-7-10) 博士生张振东发表高水平SCI论文
论文题目：GBDT-MO: Gradient Boosted Decision Trees for Multiple Outputs
IEEE Transactions on Neural Networks and Learning Systems(IF: 8.793)
详情：http://dx.doi.org/10.1109/TNNLS.2020.**

(2020-5-16) 郑军学硕士的论文被IEEE ICIP2020上录用
论文题目：Low Light Image Enhancement by Multispectral Fusion of RGB and NIR Images
详情：https://cmsworkshops.com/ICIP2020/Papers/AcceptedPapers.asp

(2020-4-14) 博士生刘璐和年子成硕士共同发表SCI论文
论文题目：DCM-CNN: Densely Connected Multiloss Convolutional Neural Networks for Light Field View Synthesis
IEEE Access (IF: 4.098)
详情：http://dx.doi.org/10.1109/ACCESS.2020.**

(2020-1-25) 两篇文章被IEEE ICASSP 2020录用
1)Joint Enhancement and Denoising of Low Light Images Via JND Transform(于龙硕士)
2)Multispectral Fusion of RGB and NIR Images Using Weighted Least Squares and Alternating Guidance(硕士生周凯龙)

(2020-1-15) 硕士生周凯龙和冯佳伟硕士共同发表SCI论文
论文题目：FusionNet: Multispectral Fusion of RGB and NIR Images Using Two Stage Convolutional Neural Networks
IEEE Access (IF: 4.098)
详情：https://dx.doi.org/10.1109/ACCESS.2020.**

》“Media Lab” History:pdf

研究员

"Life and Vision" Symposium(2021-6-18)
指导导师：郑喆坤
博士后：苏浩楠
国际研究生：Jonghyun Kim (成均馆大学), Seongmin Hwang, Juhwan Lee (全南大学)
博士研究生
2015年秋季: 张振东；
2016年春季: 韩其辉；
2018年秋季: 秦启普；
2019年春季: 兰慧；
2019年秋季: 刘璐；
硕士研究生
2018年级: 梁小龙；
2019年级: 刘佳德, 段增辉, 张恩铨, 姬喆, 齐占元；
2020年级: 胡钰松, 黄世民, 赵伟, 张豪, 刘智；
本科生
2019年级: 李昊东；
毕业生 (博士)
2016届：简萌 - 北京工业大学 (副教授、硕士生导师, 北京市优秀人才)
2019届：于胜韬 - 华为 (西安)
2019届：苏浩楠 - 西安电子科技大学 (博士后，西安)
2020届：付庆涛 -华为 (西安)
2020届：Inyong Yun- Hana Institute of Technology(Seoul)
2020届：孙天 - 西安邮电大学（讲师，西安）
2021届：常亚坤-香港中文大学（博士后，香港）
毕业生 (硕士)
第一批研究生毕业分配情况: 读博1名, 华为（西安）2名, 中电54所（石家庄）1名, 百度（深圳）1名；
第二批研究生毕业分配情况: 读博1名, 兆维电子（北京）1名, 中电41所（青岛）1名, 航信（广州）1名；
第三批研究生毕业分配情况: 七一三研究所（郑州）1名，大唐电信（西安）1名，新浪（北京）1名, 腾讯（北京） 1名，东方网力（北京）1名，三星（西安）1名；
第四批研究生毕业分配情况: 中兴（深圳）1名，中兴（上海）1名，华为（西安）1名，
中信（上海）1名，63所（南京）1名，迈瑞（深圳）1名，科达（苏州）1名；
第五批研究生毕业分配情况: 读博1名, 中电54所（石家庄）1名，纵横自动化（成都）1名，河北工业职业技术学院（石家庄）1名,
大华技术（杭州）1名，招银网络科技（杭州）1名，微小卫星工程中心（上海）1名，东方网力（深圳）1名；
第六批研究生毕业分配情况: 大华技术（杭州）1名, 中国网安（成都）1名，中兴通讯（西安）1名，周同科技（北京）1名, 海信（深圳）1名，中兴通讯（深圳）1名；
第七批研究生毕业分配情况: 科大讯飞（合肥）2名, 中兴通讯（西安）2名，华为（杭州）1名；
第八批研究生毕业分配情况: 海康（杭州）1名, 媒智科技（上海）1名，华为（西安）1名, 亚控科技（西安）1名；
第九批研究生毕业分配情况: 北京银行（西安）1名, 善诊（上海）1名，中科院（济南）1名，
大家（上海）1名，海康（杭州）1名, 华为（西安）1名；
第十批研究生毕业分配情况: 大华（杭州）1名, 中国邮政储蓄银行（西安）1名，小米（北京）1名，
荣耀（西安）1名；

主要活动

全体会议: 每周一上午9:30-10:00
周报: 每周一到周五上午9:30-11:30和下午3:00-5:00 (预定时间)
2020年春季：Skype Meetings
“我的人生与理想”研讨会：每年毕业季
2019年暑假学校 - "Python 基础与应用"：7月22日 – 8月16日 (指导员: 孙天，刘杰)

科研项目

目前研究团队承担的科研项目：
(1) 全球性核心人才培养项目 (2019年-2020年)；
(2) 产学研合作项目1项(华为):关于新数字媒体技术(2018年-2019年)；
(3) 国家自然科学基金面向项目:基于人眼视觉特性的环境光下图像显示自适应增强技术研究(2019年-2022年)；
(4) 陕西省国际科技基地(2017~2022年)；
(5) 西安电子科技大学基本科研业务费：面向智能制造关键技术(2016~2017年)；
(6) 国家科学自然基金国际合作与交流项目(2016年)；
(7)产学研合作项目1项(中兴): 高动态视频编码技术(2015年-2016年)；
(8) 产学研合作项目1项(Samsung SDS): 视频分析技术(2015年-2016年)；
(9)产学研合作项目1项(联咏科技): 关于设备增强技术(2014年-2015年)；
(10) 国际科技合作专项项目(科技部):中韩联合研究（西安电子科技大学和成均馆大学；2014年-2020年)；
(11)国家自然科学基金面向项目:3DTV中编码效应消除和高质量双目视图生成研究(2013年-2016年)；
(12) “”项目；
(13) “”校内科研启动经费；
(14)产学研合作项目1项(华为):关于3DTV视频处理技术(2012年-2013年)；
(15)国家自然科学基金国际交流项目(2011年-2012年)；

科研成果1

Deep Learning for Machine Intelligence
(1) Human Action Recognition
1. Jonghyun Kim, Gen Li, Inyong Yun, Cheolkon Jung, and Joongkyu Kim, "Weakly Supervised Temporal Attention 3D Network for Human Action Recognition," Pattern Recognition, 2021(SCI).
(2) Face Super-resolution
1.Jonghyun Kim, Gen Li, Cheolkon Jung, Joongkyu Kim, "ProgressiveFaceSuper-ResolutionwithNon-ParametricFacialPriorEnhancement," Proc. IEEE ICIP, 2021 (EI).
2. Jonghyun Kim, Gen Li, Inyong Yun,Cheolkon Jung, and Joongkyu Kim, "Edge and Identity Preserving Network for Face Super-Resolution," Neurocomputing, 2021(SCI).
(3) Medical Image Analysis
1. Yakun Chang and Cheolkon Jung, "Automatic Cardiac MRI Segmentation and Permutation-Invariant Pathology Classification Using Deep Neural Networks and Point Clouds," Neurocomputing, vol. 418, pp. 270-279, 2020 (SCI).
2. Yakun Chang, Baoyu Song, Cheolkon Jung, and Liyu Huang, “Automatic Segmentation and Cardiopathy Classification in Cardiac MRI Images Based on Fully Convolutional Neural Networks,” Proc. IEEE ICASSP, pp. 1020-1024,2018 (EI).
(4) Gradient Boosted Decision Trees
1. Zhendong Zhang and Cheolkon Jung, "GBDT-MO: Gradient Boosted Decision Trees for Multiple Outputs," IEEE Transactions on Neural Networks and Learning Systems,2020 (SCI)
(5) Multispectral Registration and Fusion of RGB and NIR Images
1. Lin Mei and Cheolkon Jung, "Deep Fusion of RGB and NIR Paired Images Using Convolutional Neural Networks ," Proc. ICPR, 2020 (EI).
2. Zeming Wei, Cheolkon Jung, and Chen Su, "RegiNet: Gradient Guided Multispectral Image Registration Using Convolutional Neural Networks," Neurocomputing, vol. 415, pp. 193-200, 2020 (SCI).
3. Cheolkon Jung, Kailong Zhou, and Jiawei Feng, "FusionNet: Multispectral Fusion of RGB and NIR Images Using Two Stage Convolutional Neural Networks," IEEE Access, vol. 8, pp.23912-23919,2020 (SCI)
(6) NIR to RGB Domain Translation
1. Tian Sun andCheolkon Jung, “NIR Image Colorization Using SPADE Generator and Grayscale Approximated Self-Reconstruction,” Proc. IEEE VCIP,2020(EI).
2. Fengqiao Wang, Lu Lu, andCheolkon Jung, “Deep Near Infrared Colorization with Semantic Segmentation and Transfer Learning,” Proc. IEEE VCIP, 2020 (EI).
3. Tian Sun, Cheolkon Jung, Qingtao Fu, and Qihui Han, “NIR to RGB Domain Translation Using Asymmetric Cycle Generative Adversarial Networks,” IEEE Access, vol. 7, pp. 112459-112469,2019 (SCI).
(7) Artificial Intelligence for Business Security
1.Zhendong Zhang, Cheolkon Jung, and Xiaolong Liang, “Adversarial Defense by Suppressing High-frequency Components,” Proc. IJCAI Workshop - 1st Workshop onArtificial Intelligence for Business Security (AIBS), 2019 (EI).
(8) Multi-Focus Fusion
1. Zicheng Nian, Cheolkon Jung, "CNN-Based Multi-focus Image Fusion with Light Field Data," Proc. IEEE ICIP, pp. 1044-1048, 2019 (EI).
(9) Reflection Removal
1. Yakun Chang, Cheolkon Jung, Jun Sun, "Joint Reflection Removal and Depth Estimation from a Single Image," IEEE Transactions on Cybernetics, 2019 (SCI).
2. Yakun Chang, Cheolkon Jung, Jun Sun, Fengqiao Wang, “Siamese Dense Network for Reflection Removal with Flash and No-flash Image Pairs,” International Journal of Computer Vision, 2019 (SCI).
3. Jun Sun, Yakun Chang, Cheolkon Jung, and Jiawei Feng, "Multi-Modal Reflection Removal Using Convolutional Neural Networks," IEEE Signal Processing Letters, vol. 26, no. 7, pp. 1011-1015,2019 (SCI).
4. Yakun Chang and Cheolkon Jung, “Single Image Reflection Removal Using Convolutional Neural Networks,” IEEE Transactions on Image Processing, vol. 28, no. 4, pp. 1954-1966,2019(SCI).
(10) ImageInpainting
1. Jie Liu andCheolkon Jung, "Facial Image Inpainting Using Attention-Based Multi-Level Generative Network," Neurocomputing, 2020 (SCI).
2. Jie Liu and Cheolkon Jung, "Facial Image Inpainting Using Multi-level Generative Network," Proc. IEEE ICME, pp. 1168-1173, 2019 (EI).
(11) Image Super-resolution
1. Seongmin Hwang,Juhwan Lee, Cheolkon Jung and Jinyoung Kim, "Attention-Aware Linear Depthwise Convolution for Single Image Super-Resolution," Proc. SMA, 2020 (EI).
2. Zhendong Zhang, Xinran Wang, and Cheolkon Jung, “DCSR: Dilated Convolutions for Single Image Super-Resolution,” IEEE Transactions on Image Processing, vol. 28, no. 4, pp. 1625-1635,2019(SCI).
(12) Image Deblocking
1. ZhanyuanQi, Cheolkon Jung, Binghua Xie, “Subband Adaptive Image Deblocking Using Wavelet Based Convolutional Neural Networks,” IEEE Access, 2021(SCI).
2. Cheolkon Jung, Jiawei Feng, Zhu Li, “Gradient Guided Image Deblocking Using Convolutional Neural Networks,” Proc. ACM Multimedia Asia, 2019 (EI).
(13) Image Enhancement
1.Zhe Ji, Cheolkon Jung, "Subband Adaptive Enhancement of Low Light Images Using Wavelet-Based Convolutional Neural Networks," Proc. IEEE ICIP, 2021 (EI).
2.Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung, “PIRM challenge on perceptual image enhancement on smartphones: report,” Proc. ECCV Workshop - Perceptual Image Restoration and Manipulation (PIRM) Workshop and Challenge, pp. 315-333, 2018 (EI).
3. Jie Liu, Cheolkon Jung, “Multiple Connected Residual Network for Image Enhancement on Smartphones,” Proc. ECCV Workshop - Perceptual Image Restoration and Manipulation (PIRM) Workshop and Challenge, pp. 182-196, 2018 (EI).
(14) Stereo Matching
1. Baoliang Chen, Cheolkon Jung, "Patch-Based Stereo Matching Using 3D Convolutional Neural Networks," Proc. IEEE ICIP, pp.
3633-3637,2018 (EI).
(15) Vitual View Synthesis
1. Lu Liu, Zicheng Nian, Cheolkon Jung, "DCM-CNN: Densely Connected Multiloss Convolutional Neural Networks for Light Field View Synthesis," IEEE Access, 2020 (SCI)
2.Zicheng Nian, Cheolkon Jung, "High-Quality Virtual View Synthesis for Light Field Cameras Using Multi-loss Convolutional Neural Networks," Proc. IEEE ICIP, pp.2605-2609,2018 (EI).
(16) Person Re-Identification
1. Jun Sun and Cheolkon Jung, “Unsupervised Person Re-identification Using Reliable and Soft Labels,” Proc. IEEE ICASSP, pp. 1020-1024, 2019 (EI).
2. Zhangping He, Cheolkon Jung, Qingtao Fu, Zhendong Zhang, "Deep Feature Embedding Learingfor Person Re-Identi?cation Based on Lifted Structured Loss," Multimedia Tools and Applications, vol. 78, no. 5, pp. 5863-5880, 2019(SCI)
3. Zhangping He, Cheolkon Jung, Zhendong Zhang, “Deep Feature Embedding Learning for Person Re-Identification Using Lifted Structured Loss,” Proc. IEEE ICASSP, pp. 1957-1961, 2018 (EI)
(17) Depth Super-Resolution
1. Baoliang Chen, Cheolkon Jung, “Single Depth Image Super-Resolution Using Convolutional Neural Networks,” Proc. IEEE ICASSP, pp. 1473-1477, 2018 (EI)
2. Zhendong Zhang, Cheolkon Jung, “TV-SVM: Support Vector Machine with Total Variational Regularization,” Proc. IEEE ICASSP, pp. 2816-2820, 2018 (EI)
(18) Representation Learning
1. Zhendong Zhang, Cheolkon Jung, "Recurrent Convolutions: A Model Compression Point of View," Proc. NIPS CDNNRIA Workshop, 2018 (EI).
2. Zhendong Zhang, Cheolkon Jung, “Regularization Neural Networks via Constrained Virtual Movement Field,” Proc. ICLR Workshop, 2018 (EI).

(19) Pedestrian Detection
1. Inyong Yun, Cheolkon Jung, Xinran Wang, Alfred O Hero, and Joongkyu Kim, “Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment,” IEEE Access, vol. 7, pp. 23027–23037, 2019 (SCI)
2.Xinran Wang, Cheolkon Jung, Alfred O Hero, “Part-Level Fully Convolutional Networks for Pedestrian Detection,” Proc. IEEE ICASSP, pp. 2267-2271, 2017 (EI).
(20) Object Tracking
1. Miaobin Cen, Cheolkon Jung, "Fully Convolutional Siamese Fusion Networks for Object Tracking," Proc. IEEE ICIP, pp. 3718-3722,2018 (EI).
2.Zhangping He, Zhendong Zhang, Cheolkon Jung, "Fast Fourier Transform Networks for Object Tracking Based on Correlation Filter," IEEE Access, vol. 6, pp. 6594-6601, 2018 (SCI)
3.Miaobin Cen, Cheolkon Jung, "Complex Form of Local Orientation Plane for Visual Object Tracking," IEEE ACCESS, vol. 5, pp.21597-21604, 2017(SCI)"2018 Outstanding Thesis Award"
4. Miaobin Cen, Cheolkon Jung, "Comp-LOP: Complex Form of Local Orientation Plane for Object Tracking," Proc. IEEE ICIP, pp. 650-654, 2017 (EI).

科研成果2

Sensor Fusion
(1) NIR Colorization
1. Qingtao Fu, Cheolkon Jung, Chen Su, “Color Recovery from Multi-Spectral NIR Images Using Gray Information,” Proc. ACM Multimedia Asia, 2019 (EI).
(2) Multimodal Fusion of RGB and Depth Images
1. Shengtao Yu, Hui Lan, Cheolkon Jung, “Intensity Guided Depth Upsampling Using Edge Sparsity and Super-Weighted $L_0$ Gradient Minimization,” IEEE Access, 2019(SCI)
(3) Multispectral Fusion of RGB and NIR Images
1. Haonan Su, Cheolkon Jung, Long Yu, “Multi-Spectral Fusion and Denoising of Color and Near-Infrared Images Using Multi-Scale Wavelet analysis," Sensors, 2021 (SCI).
2. Kailong Zhou, Cheolkon Jung, Shengtao Yu, "Scale-Aware Multispectral Fusion of RGB and NIR Images Based on Alternating Guidance," IEEE Access, 2020 (SCI).
3. Junxue Zheng, Cheolkon Jung, Shentao Yu, "Low Light Image Enhancement by Multispectral Fusion of RGB and NIR Images," Proc. IEEE ICIP, 2020 (EI).
4. Kailong Zhou, Cheolkon Jung, "MultispectralFusionofRGBandNIRImagesUsingWeightedLeastSquaresandAlternatingGuidance," Proc. IEEE ICASSP, pp1489-1493, 2020 (EI).
5. Shengtao Yu, Cheolkon Jung, Kailong Zhou, Chen Su, “RSC-DGS: Fusion of RGB and NIR Images Using Robust Spectral Consistency and Dynamic Gradient Sparsity,” Proc. ACM Multimedia Asia, 2019 (EI).
6. Haonan Su, Cheolkon Jung, “Multi-spectral Fusion and Denoising of RGB and NIRImages Using Multi-scale Wavelet Analysis,” Proc. ICPR, pp. 1779-1784, 2018 (EI).
(4) Stereo and Depth Image Fusion
1. Yiwei Wang, Cheolkon Jung, Inyong Yun, Joongkyu Kim, “SPFEMD: Super-Pixel Based Finger Earth Mover\\\\\\\\'s Distance for Hand Gesture Recognition,” Proc. IEEE ICASSP, 2019 (EI).
2.Baoliang Chen, Cheolkon Jung, Zhendong Zhang,"Variational Fusion of Time-of-Flight and Stereo Data for Depth Estimation Using Edge Selective Joint Filtering," IEEE Transactions on Multimedia, vol. 20, no. 11, pp. 2882-2890,2018 (SCI)."2018 Outstanding Thesis Award"
3. Yiwei Wang, Cheolkon Jung, "Interaction-Free Hand Segmentation Using Kinect Camera," Proc. IEEE ICIP, pp. 4593-4593, 2017 (EI).
4. Baoliang Chen, Cheolkon Jung, Zhendong Zhang, "Variational Fusion of Time-of-Flight and Stereo Data Using Edge Selective Joint Filtering," Proc. IEEE ICIP, pp. 1437-1441, 2017 (EI).

Perceptual Video Coding and H.265
(1) H.265 and Perceputal Video Coding
1. Qingtao Fu, Cheolkon Jung, Qiaozhou Lin, "Perceptually Motivated Fast CU Size Decision for HEVC Intra Coding Based on Visual Regularity," Journal of Electronic Imaging, 2018 (SCI)
2. Cheolkon Jung, Qingtao Fu,Fei Xue, "Perceptual Stereoscopic Video Coding Using Disparity Just-Noticeable-Distortion Model," Journal of Visual Communication and Image Representation, 2017 (SCI)
3. Cheolkon Jung, Fei Xue, Joongkyu Kim, “Perceptual Stereo Video Coding Based on Depth-of-Focus Blur Effects,” ISO/IEC JTC1/SC29/WG11 MPEG2016/M38375, 2016, Geneva, Switzerland.
4. Fei Xue, Cheolkon Jung, Joongkyu Kim, "Disparity-Based Just-Noticeable-Difference Model for Perceptual Stereoscopic Video Coding Using Depth of Focus Blur Effect," Displays, Vol. 42, pp. 43-50, 2016 (SCI)
5. Cheolkon Jung, Yao Chen, "Perceptual Rate Distortion Optimization for Video Coding Using Free-Energy Principle," IET Electronics Letters, Vol. 51, No.2, pp. 1656-1658,2015 (SCI)"2016Outstanding Thesis Award"
6. Cheolkon Jung, Yao Chen, Qiaozhou Lin, "Perceptual Block Merging for Quadtree-Based Partitioning in HEVC Using Disorderly Concealment Effect," Proc. IEEE VCIP, 2015 (EI)
7.Fei Xue, Cheolkon Jung, “Chrominance Just-Noticeable-Distortion Model Based on Human Color Perception,” IET Electronics Letters, Vol. 50, No. 22, pp. 1587-1589, 2014 (SCI)"2015Outstanding Thesis Award"
(2) HDR/WCG Video Coding
1. Qingtao Fu, Cheolkon Jung, Ge Yang, Yi Liu, "Weighted Chroma Downsampling and Luma-Referenced Chroma Upsampling for HDR/WCG Video Coding," IEEE Access, 2019 (SCI).
2.Shengtao Yu, Cheolkon Jung, "Adaptive Perceptual Quantizer for High Dynamic Range Video Compression," Journal of Visual Communication and Image Representation, vol. 58, pp. 25-36, 2019 (SCI).
3. Qingtao Fu, Cheolkon Jung, Ge Yang, "Weighted Chroma Downsampling and Luma-Referenced Chroma Upsampling for HDR/WCG Video Coding," Proc. IEEE ICIP, 2018 (EI).
4. Shengtao Yu, Cheolkon Jung, and Qiaozhou Lin, "HEVC Encoder Optimization for HDR Video Coding Based on Irregularity Concealment Effect," Signal Processing: Image Communication, 2018 (SCI)
5. Qingtao Fu, Cheolkon Jung, Ge Yang, “Adaptive Quantization-Based HDR Video Coding with HEVC Main 10 Profile,” Proc. IEEE ISM, 2017 (EI)
6. Cheolkon Jung, Qiaozhou Lin, Shengtao Yu, “HEVC Encoder Optimization for HDR Video Coding Based on Perceptual Block Merging,” Proc. IEEE VCIP, 2016 (EI) "2017Outstanding Thesis Award"
7. Qiaozhou Lin, Cheolkon Jung, “Backward Compatible Opto-Electrical Transfer Function for HDR Video CodinBased on Rational Quantization,” Proc. IEEE VCIP, 2016 (EI)
8. Shengtao Yu, Cheolkon Jung, “Adaptive PQ: Adaptive Perceptual Quantizer for HEVC Main 10 Profile-Based HDR Video Coding,” Proc. IEEE VCIP, 2016 (EI)
9. Cheolkon Jung, Shengtao Yu, Long Yu, Ming Li, Ping Wu, “Adaptive Perceptual Quantizer for HDR Video Coding,” ISO/IEC JTC1/SC29/WG11 JCTVC-X0063, 2016, Geneva, Switzerland.
10. Cheolkon Jung, Qiaozhou Lin, Shengtao Yu, Ming Li, Ping Wu, “Backward Compatible Opto-Electrical Transfer Function for HDR Video Coding Based on Rational Quantization,” ISO/IEC JTC1/SC29/WG11 JCTVC-X0064, 2016, Geneva, Switzerland.
11. Cheolkon Jung, Qiaozhou Lin, Shengtao Yu, “HEVC Encoder Optimization Based on Perceptual Block Merging,” ISO/IEC JTC1/SC29/WG11 JCTVC-X0070, 2016, Geneva, Switzerland.
12. Cheolkon Jung, Shengtao Yu, Peng Ke, Ming Li, and Ping Wu, “Adaptive PQ: Adaptive Perceptual Quantizer for HDR video Coding with HEVC Main 10 Profile,” ISO/IEC JTC1/SC29/WG11/M37706, 2016 (Sandiego)
13. Cheolkon Jung, Qingtao Fu, Ge Yang,Ming Li, Ping Wu, “Adaptive Quantization-Based HDR video Coding with HEVC Main 10 Profile,” ISO/IEC JTC1/SC29/WG11/M37703, 2016 (Sandiego)
14. Cheolkon Jung, Shengtao Yu, Qiaozhou Lin, Ming Li, Ping Wu, “Optimization of HEVC Main 10 coding in HDR videos Based on Disorderly Concealment Effect,” ISO/IEC JTC1/SC29/WG11/M37701, 2016 (Sandiego)
15. Cheolkon Jung, Yao Chen, Qiaozhou Lin, Ming Li, Ping Wu, "Optimization of HEVC Main 10 Coding in HDR Videos Using Perceptual Block Merging,"ISO/IEC JTC1/SC29/WG11 MPEG2015/M37073, 2015 (Geneva)
(3) Blocking Artifact Reduction
1. Cheolkon Jung, Licheng Jiao, Hongtao Qi, Tian Sun, “Image deblocking via sparse representation,” Signal Processing: Image Communication, Vol. 27, No. 6, pp. 663-677, 2012 (SCI)"ScienceDirect Top25 Hottest Articles"
2. Cheolkon Jung, Licheng Jiao, Bing Liu, Hongtao Qi, Tian Sun, “Toward high-quality image communications: inverse problems in image processing,” Optical Engineering, Vol. 51, No. 10, 100901, 2012 (SCI).
3. Cheolkon Jung, Licheng Jiao, “Ringing artifact reduction of JPEG images using a SGLI prior,” Proc. IEEE MLSP, 2011 (EI).

Computational Photography & Display Enhancement
(1) Light Field Depth Estimation
1. Qihui Han, Cheolkon Jung, “Guided Filtering Based Data Fusion for Light Field Depth Estimation with $L_{0}$ Gradient Minimization,” Journal of Visual Communication and Image Representation, 2018 (SCI)
2. Qiuxia Hou, Cheolkon Jung, “Occlusion Robust Light Field Depth Estimation Using Segmentation Guided Bilateral Filtering,” Proc. IEEE ISM, 2017 (EI)
(2) Low Light Image Enhancement
1. Haonan Su, Long Yu, Cheolkon Jung, "Joint Contrast Enhancement and Noise Reduction of Low Light Images Via JND Transform," IEEE Transactions on Multimedia, 2020 (SCI).
2. Long Yu, Haonan Su, Cheolkon Jung, "JointEnhancementandDenoisingofLowLightImagesViaJNDTransform," Proc. IEEE ICASSP, 2020 (EI).
3. Qingtao Fu, Cheolkon Jung, Kaiqiang Xiu, "Retinex-Based Perceptual Contrast Enhancement in Images Using Luminance Adaptation," IEEE Access, 2018 (SCI).
4. Qi Yang, Cheolkon Jung, Qingtao Fu, Hyoseob Song, "Low Light Image Denoising Based on Poisson Noise Model and Weighted TV Regularization," Proc. IEEE ICIP, 2018 (EI).
5. Yakun Chang, Cheolkon Jung, Peng Ke, Hyoseob Song, Jungmee Hwang, “Automatic Contrast Limited Adaptive Histogram Equalization with Dual Gamma Correction,” IEEE Access, 2018 (SCI)
6. Cheolkon Jung, “Low Light Image Enhancement,” Proc. IPIU, 2018.
7. Haonan Su, Cheolkon Jung, “Perceptual Enhancement of Low Light Images Based on Two-Step Noise Suppression,” IEEE Access, 2017 (SCI)
8. Tingting Sun, Cheolkon Jung, Peng Ke, Hyoseob Song, Jungmee Hwang, “Readability Enhancement of Low Light Videos Based on Discrete Wavelet Transform,” Proc. IEEE ISM, 2017 (EI)
9. Kaiqiang Xu, Cheolkon Jung, “Retinex-Based Perceptual Contrast Enhancement in Images Using Luminance Adaptation,” Proc. IEEE ICASSP, pp. 1363-1367, 2017 (EI).
10. Haonan Su, Cheolkon Jung, “Low Light Image Enhancement Based on Two-Step Noise Suppression,”Proc. IEEE ICASSP, pp. 1977-1981, 2017 (EI).
11. Cheolkon Jung, Qi Yang, Tingting Sun, Qingtao Fu, Hyoseob Song, “Low Light Image Enhancement with Dual-Tree Complex Wavelet Transform,” Journal of Visual Communication and Image Representation,Vol. 47, pp. 28-36,2017 (SCI)"2017Outstanding Thesis Award"
(3) Adaptive Smoothing
1.Zhengdong Zhang, Cheolkon Jung, “Structure Tensor-Based WLS Filter for Adaptive Smoothing,” Proc. IEEE VCIP, 2016 (EI)
(4) Tone Mapping
1. Long Yu, Haonan Su, Cheolkon Jung, “Perceptually Optimized Enhancement of Contrast and Color in Images,” IEEE Access, 2018 (SCI)
2. Cheolkon Jung, Kaiqiang Xu, "Naturalness-Preserved Tone Mapping in Images Based on Perceptual Quantization," Proc. IEEE ICIP, 2017 (EI)
3. Lu Wang, Cheolkon Jung, “Surrounding Adaptive Tone Mapping in Displayed Images under Ambient Light,” Proc. IEEE ICASSP, pp. 1992-1996, 2017 (EI)
4. Yakun Chang, Cheolkon Jung, “Perceptual Contrast Enhancement of Dark Images Based on Textural Coefficients,” Proc. IEEE VCIP, 2016 (EI)
5. Lu Wang, Cheolkon Jung, “Tone-Preserving Contrast Enhancement in Images Using Rational Tone Mapping and Constrained Optimization,” Proc. IEEE VCIP, 2016 (EI)
6. Cheolkon Jung, Tingting Sun, "Optimized Perceptual Tone Mapping for Contrast Enhancement of Images," IEEE Transactions on Circuits and Systems for Video Technology, 2016 (SCI)
7. Tingting Sun, Cheolkon Jung, "Readability Enhancement of Low light Images Based on Dual-Tree Complex Wavelet Transform," Proc. IEEE ICASSP, 2016 (EI)
(5) Display Enahncement
1.Haonan Su, Cheolkon Jung, Lu Wang, Shuyao Wang, and Yuanjia Du, "Adaptive Tone Mapping for Display Enhancement under Ambient Light Using Constrained Optimization," Displays, 2019 (SCI).
2. Haonan Su, Cheolkon Jung, Shuyao Wang, Yuanjia Du, "Readability Enhancement of Displayed Images Under Ambient Light," IEEE Transactions on Circuits and Systems for Video Technology, 2017 (SCI)
3. Cheolkon Jung, Haonan Su, Lu Wang, Peng Ke, "Power Constrained Contrast Enhancement Based on Brightness Compensated Contrast-Tone Mapping Operation," Journal of Electronic Imaging, Vol. 25, No. 5, 053027, 2016 (SCI)
4. Xiaoke Wang, Cheolkon Jung, “Backlight Scaled Contrast Enhancement for Liquid Crystal Displays Using Image Key-Based Compression,” Proc. IEEE VCIP, 2016 (EI)
5. Haonan Su, Cheolkon Jung, Shuyao Wang, Yuanjia Du, "Adaptive Enhancement of Luminance and Details in Images Under Ambient Light," Proc. IEEE ICASSP, 2016 (EI)
6. Cheolkon Jung, Lu Wang, "Power-Constrained Backlight Scaling Using Brightness Compensated Contrast-Tone Mapping Operation," Proc. IEEE VCIP, 2015 (EI)
7.Cheolkon Jung, Zengtao Xia, “Perceptual Backlight Scaling for Low Power Liquid Crystal Displays Based on Visual Saliency,” Proc. IEEE ICIP, 2015 (EI)
(6)Interactive Foreground Extraction
1. Meng Jian, Lifang Wu, Cheolkon Jung, Qingtao Fu, Ting Jia, "Visual Saliency Estimation Using Constraints," Neurocomputing, 2018 (SCI)
2. Meng Jian, Cheolkon Jung, "Interactive ImageSegmentation Using Adaptive Constraint Propagation," IEEE Transactions on Image Processing, 2016 (SCI)
3. Xiaoliang Tian,Cheolkon Jung, “Visual Saliency Estimation Through Label Propagation,” IET Electronics Letters, Vol. 51, No. 14, pp. 1073-1075, 2015 (SCI)
4.Xiaoliang Tian, Cheolkon Jung, “Point-Cut: Fixation Point-Based Image Segmentation Using Random Walk Model,” Proc. IEEE ICIP, 2015 (EI)
5.Cheolkon Jung, Meng Jian, Juan Liu, Licheng Jiao, Yanbo Shen, "Interactive Image Segmentation Via Kernel Propagation," Pattern Recognition, Vol. 47, No. 8, pp. 2745-2755, 2014 (SCI)
(7) High Dynamic Range Imaging
1. Cheolkon Jung, Xiaoke Wang, "Detail-Preserving Tone Mapping for Low Dynamic Range Displays with Adaptive Gamma Correction," Proc. IEEE VCIP, 2015 (EI)
2. Peng Ke,Cheolkon Jung,Ying Fang, “Perceptual Multi-exposure Image Fusion with Overall Image Quality Index and Local Saturation,” Mutimedia Systems, 2015 (SCI)"2016Outstanding Thesis Award"
3. Cheolkon Jung, Ying Fang,Licheng Jiao, “High Dynamic Range Image Rendering Using Hybrid Tone Mapping and Automatic K Factor Decision,”Journal of Electronic Imaging,Vol.22,No.3,033001, 2013 (SCI)"2014Outstanding Thesis Award"
4. Cheolkon Jung, Yanru Yang,Licheng Jiao, “High dynamic range imaging on mobile devices using fusion of multi-exposure images,” Optical Engineering,Vol.52,No.10,102004, 2013 (SCI)
(8) Specularity Removal in Color Images
1. Cheolkon Jung, Licheng Jiao, Hongtao Qi, Yanru Yang, “Specularity removal based on reflection component separation and joint bilateral filtering,” Optical Engineering, Vol. 51, No. 10, 107005, 2012 (SCI).
2. Cheolkon Jung, Licheng Jiao, Hongtao Qi, “Specular highlight removal using reflection component separation and joint bilateral filtering,” Lecture Notes in Computer Science (IscIDE 2011), Vol. 7202, pp. 513-521, 2012 (EI).

科研成果3

Multimedia Semantics and Retrieval
(1) Semantic Multimedia Information Retrieval
1.Meng Jian, Cheolkon Jung, Yanbo Shen, Juan Liu, "Interactive Image Retrieval Using Constraints," Neurocomputing, Vol. 161, pp. 210-219, 2015 (SCI)
(2)Ensemble Learning & Its Applications
1.Cheolkon Jung, Yanbo Shen, Licheng Jiao, "Learning to Rank with Ensemble Ranking SVM," Neural Processing Letters, Vol. 42, No. 3, pp. 703-714, 2015 (SCI).
2. Cheolkon Jung, Licheng Jiao, Yanbo Shen, “Ensemble ranking SVM for learning to rank,” Proc. IEEE MLSP, 2011 (EI).
(3)Semi-Supervised Learning & Its Applications
1. Meng Jian, Cheolkon Jung, "Semi-Supervised Kernel Matrix Learning Using Adaptive Constraint-Based Seed Propagation," Pattern Recognition, vol. 112, 107750,2021(SCI)
2. Meng Jian, Cheolkon Jung, "Semi-supervised Bi-dictionary Learning for Image Classification with Smooth Representation-Based Label Propagation," IEEE Transactions on Multimedia, Vol.18, No. 3, pp. 458-473, 2016 (SCI)
3.Meng Jian, Cheolkon Jung, "Semi-supervised Bi-dictionary Learning Using Smooth Representation-Based Label Propagation," Proc. CyberC, pp. 239-242, 2015 (EI)
4.Meng Jian, Cheolkon Jung, Yanbo Shen, Licheng Jiao, Juan Liu, "Adaptive Constraint Propagation for Semi-Supervised Kernel MatrixLearning," Neural Processing Letters, Vol. 41, No. 1, pp. 107-123, 2015 (SCI)
5.Meng Jian, Cheolkon Jung, Yaoguo Zheng, "Discriminative Structure Learning for Semantic Concept Detection with Graph em[ant]bedding," IEEE Transactions on Multimedia, Vol. 16, No. 2, pp. 413-426,2014 (SCI)
6. Cheolkon Jung, Juan Liu, Tian Sun, Licheng Jiao, Yanbo Shen, “Automatic Image Segmentation Using Constraint Learning and Propagation,” DigitalSignal Processing, Vol. 24, No. 1, pp. 106-116, 2014 (SCI).
7. Cheolkon Jung, Licheng Jiao, Juan Liu, Yanbo Shen, “Image segmentation via manifold spectral clustering,” Proc. IEEE MLSP, 2011 (EI).
(4) Kernel Sparse Representation Based Classification
1. Meng Jian,Cheolkon Jung, “Class-discriminative kernel sparse representation-based classification using multi-objective optimization,” IEEE Transactions on Signal Processing, Vol.61,No.18,pp.4416-4417, 2013 (SCI).
(5) Image Steganography and Fingerprinting
1. Lihui Cao, Cheolkon Jung, "Combining Visual Saliency and Pattern Masking for Image Steganography," Proc. CyberC,pp. 320-323,2015 (EI).
2.Cheolkon Jung, Lihui Cao, "Randomized Ring-Partition Fingerprinting with Dithered Lattice Vector Quantization," Proc. CyberC,pp. 100-103,2015 (EI).

Stereoscopic 3D Video Processing
(1) Stereo-Plus-Depth Imaging System
1. Kailong Zhou, Shengtao Yu, Cheolkon Jung, “Alternately Guided Depth Super-Resolution Using Weighted Least Squares and Zero-Order Reverse Filtering,” Proc. IEEE ICASSP, 2019 (EI).
2. Shengtao Yu, Cheolkon Jung, "Intensity-Guided Depth Upsampling Using Edge Sparsity and Weighted L0 Gradient Minimization," Proc. IEEE ICIP, 2018 (EI).
3. Inyong Yun, Cheolkon Jung, Joongkyu Kim, "Stereo-Plus-Depth Imaging System," Proc. IEEE ICIP, 2017 (EI)
4. Cheolkon Jung, Shengtao Yu, Joongkyu Kim, “Intensity-Guided Edge-Preserving Depth Upsampling through Weighted L0 Gradient Minimization,”Journal of Visual Communication and Image Representation,Vol. 42, pp. 132-144, 2017(SCI)
5. Inyong Yun,Cheolkon Jung, Joongkyu Kim, “Accurate Depth Image Acquistion by Combining Kinect and Stereo Cameras,” Proc. ICEIC 2017, 2017(EI)
(2) Visual Comfort Assessment and Enhancement
1. Cheolkon Jung, Lihui Cao, Hongmin Liu, Joongkyu Kim, “Visual comfort enhancement in stereoscopic 3D images using saliency-adaptive nonlinear disparity mapping,” Displays, 2015 (SCI)"2016Outstanding Thesis Award"
2. Cheolkon Jung, Hongmin Liu, Yu Cui, “Visual Comfort Assessment for Stereoscopic 3D Images Based on Salient Discomfort Regions,” Proc. IEEE ICIP, 2015 (EI)
3. Cheolkon Jung, Shuai Wang,“Visual comfort assessment in stereoscopic 3D images using salient object disparity,”IET Electronics Letters, Vol. 51, No. 6, pp. 482-484, 2015 (SCI)"Feature Article"
(3) Stereo Matching
1. Inyong Yun, Seokhoon Boo, Cheolkon Jung, Joongkyu Kim, "Moment-Based Dense Correspondence Matching Robust to Image Variation," Proc. IEEE ISM, 2017 (EI)
2. Cheolkon Jung,Xufeng Chen, Jiji Cai,Haozhen Lei,Inyong Yun, and Joongkyu Kim, “Boundary-Preserving Stereo Matching with Certain Region Detection and Adaptive Disparity Adjustment,”Journal of Visual Communication and Image Representation, Vol. 31, pp. 14-25, 2015 (SCI)"2016Outstanding Thesis Award"
3.Haozhen Lei, Cheolkon Jung, “Reliability-Based Discontinuity-Preserving Stereo Matching,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 26, No. 10, pp. 1970-1975, 2016 (SCI)
(4)2D to 3D Conversion
1. Inyong Yun, Byunghyun Kwon, Cheolkon Jung, Joongkyu Kim, "Bi-Directional Depth Propagation for 2D-to-3D Conversion with Color/Depth-Based Superpixel Segmentation," Proc. ICEIC, 2019 (EI)
2. Jiji Cai, Liang Chang, Hongbin Wang, Cheolkon Jung, Joongkyu Kim, “Boundary-Preserving Depth Upsampling without Texture Copying artifacts and Holes,” Proc. IEEE ISM, 2017 (EI)
3.Jiji Cai, Cheolkon Jung, "Image-Guided Depth Propagation for 2D-to-3D Video Conversion Using Superpixel Matching and Adaptive Autoregressive Model," Journal of Electronic Imaging, 2017 (SCI)
4. Tian Sun, Cheolkon Jung, Lei Wang, Joongkyu Kim, “Rapid Learning-Based Video Stereolization Using GPU Acceleration,”Journal of Electronic Imaging, Vol. 25, No. 5, 053021, 2016 (SCI)
5. Shengtao Yu, Cheolkon Jung, Joongkyu Kim, “Color-Guided Boundary-Preserving Depth Upsampling Based on L0 Gradient Minimization,” Proc. IEEE VCIP, 2016 (EI)
6. Cheolkon Jung, Jiji Cai, "Joint Geodesic Depth Propagation for 2D-to-3D Video Conversion,“ Journal of Electronic Imaging, Vol. 50, No. 1, 013030, 2016 (SCI).
7. Jiji Cai, Cheolkon Jung, "Image-Guided Depth Propagation Using Superpixel Matching and Adaptive Autoregressive Model," Proc. IEEE VCIP, 2015 (EI)
8. Cheolkon Jung, Jiji Cai, “Superpixel Matching-Based Depth Propagation for 2D-TO-3D Conversion with Joint Bilateral Filtering,” Proc. IEEE ICIP, 2015 (EI)"2016Outstanding Thesis Award"
9. Lei Wang, Cheolkon Jung, "Example Based Video Stereolization with Foreground Segmentation and Depth Propagation,"IEEE Transactions on Multimedia, Vol. 16, No. 7, pp. 1905-1914, 2014 (SCI).
10. Cheolkon Jung, Lei Wang, Xiaohua Zhu, Licheng Jiao, "2D to 3D Conversion with Motion-Type Adaptive Depth Estimation," Multimedia Systems, Vol. 21, No. 5, pp. 451-464, 2015 (SCI).
11. Cheolkon Jung, Xiaohua Zhu, Lei Wang, Tian Sun, Mingchen Han, Biao Hou,Licheng Jiao, "2D to 3D Conversion in 3DTV Using Depth Map Generation and Virtual View Synthesis," Proceedings ofInternational Conference on Multimedia Technology, 2013 (EI).
(5) Depth-Image-Based Rendering (DIBR)
1. Yiguo Qiao, Cheolkon Jung, “Dictionary based hole filling with assistance of depth,”Proc. IEEE ICME, 2014 (EI).
2. Cheolkon Jung, Licheng Jiao, “Disparity-map-based rendering for mobile 3D TVs,” IEEE Transactions on Consumer Electronics, Vol. 57, No. 3, pp. 1171-1175, 2011 (SCI).
3. Cheolkon Jung, Licheng Jiao, Youngjin Oh, Joongkyu Kim, “Depth-preserving DIBR based on disparity map over T-DMB,” Electronics Letters, Vol. 46, No. 9, pp. 628-629, 2010 (SCI).
4. Cheolkon Jung, Licheng Jiao, “Reliable depth-image-based rendering using parameter approximation in mobile devices,” IEICE Electronics Express, Vol. 7, No. 10, pp. 666-671, 2010 (SCI).
(6) High-quality Stereoscopic View Generation
1. Cheolkon Jung, Hongtao Qi, Zengzeng Sun, Licheng Jiao, "Three DimensionalDictionary Based Deblocking for High-Quality Stereoscopic View Generation," Journal of Electronic Imaging, Vol. 22, No. 4,043023,2013 (SCI).
2. Cheolkon Jung, Licheng Jiao, Hongtao Qi, "Blocking artifact reduction in DIBR using an overcomplete 3D dictionary," Lecture Notes in Computer Science (MMM 2013), Vol. 7732, pp. 283–294, 2013 (EI).

(7) Prototype Design of Glasses-free Mobile 3DTV
1. Cheolkon Jung, Licheng Jiao, 3D DMB pla[ant]yer and its reliable 3D services in T-DMB systems, Chapter 23 in Depth Map and 3D Imaging Applications: Algorithms and Technologies, IGI Global, pp. 434-450, 2012.
2. Sunghyun Choi, Cheolkon Jung, Suyoung Lee, Joong Kyu Kim, Kwanghee Jung, Gwangsoon Lee, Namho Hur, Jin Woong Kim, “3D DMB pla[ant]yer and its realistic 3D services over T-DMB,” Proc. of IEEE ISM 2009, pp. 440-441, 2009 (EI).

Image Restoration Tasks: Superresolution, Deringing, Denoising
(1) Bayesian Deringing & Denoising Technology
1. Cheolkon Jung, Tian Sun,Aiguo Gu,“Content Adaptive Video Denoising Based on Human Visual Perception,”Journal of Visual Communication and Image Representation, Vol. 31, pp. 14-25, 2015 (SCI).
2. Cheolkon Jung, Licheng Jiao, “Novel Bayesian deringing method in image interpolation and compression using a SGLI prior,” Optics Express, Vol. 18, No. 7, pp. 7138-7149, 2010 (SCI).
3. Cheolkon Jung, Licheng Jiao, Maoguo Gong, “\\\\\\\\\\\\\\\\\'\\\\\\\\\\\\\\\\\'Bayesian image denoising using two complementary discontinuity measures,” IET Image Processing, Vol. 6, No. 7, pp. 932-942, 2012 (SCI).
4. Cheolkon Jung, Licheng Jiao, Hyungseok Kim, Joongkyu Kim, “Spatial-gradient-local- inhomogeniety: an efficient image denoising prior,” Journal of Electronic Imaging, Vol. 19, No. 3, 033005, 2010 (SCI)
(2) Face Super-resolution Using Convex Optimization
1. Cheolkon Jung, Licheng Jiao, Bing Liu, Maoguo Gong, “Position-patch based face hallucination using convex optimization,” IEEE Signal Processing Letters, Vol. 18, No. 6, pp. 367-370, 2011 (SCI).
(3) Image Super-resolution
1. Cheolkon Jung,Aiguo Gu,“Curvature Preserving Image Super-resolution with Gradient-Consistency-Anisotropic-Regularization Prior,”Signal Processing: Image Communication, Vol. 29, No. 10, pp. 1211-1222, 2014 (SCI).
2. Aiguo Gu, Cheolkon Jung, “Content adaptive image superresolution with gradient consistency and anisotropic regularization,”Proc. IEEE ICME, 2014 (EI).
3. Cheolkon Jung, Junwei Ju, Licheng Jiao, Yanru Yang, “Enhancingdictionary-based super-resolution using nonlocal total variation regularization,” Optical Engineering, Vol. 52, No. 1, 2013 (SCI)."2013Outstanding Thesis Award"
4. Cheolkon Jung, Junwei Ju, “Improvingdictionary-based image super-resolutionwith nonlocal total variation regularization,” Proc. IEEE ISCAS 2013, pp. 1207-1211,2013 (EI).
(4) Parallel Computing for Real-Time Image Processing
1. Cheolkon Jung, Peng Ke, Zengzeng Sun,Aiguo Gu, "A Fast Deconvolution-Based Approach for Single Image Super-resolution with GPU Acceleration," Journal of Real-Time Image Processing, 2015 (SCI)"2012NVIDIA CUDA Acceleration Contest Award"
2. Zengzeng Sun, Cheolkon Jung,“Parallelization of deconvolution based image super-resolution on multi-core CPU platform,”Proc. IEEE ICME, 2014 (EI).
3. Zengzeng Sun,Cheolkon Jung, "Real-time Depth-Image-Based Rendering on GPU," Proc. CyberC, pp. 324-328, 2015 (EI).

Learning & Vision
(1) Change Detection in SAR Images
1.H.L. Wan, C. Jung, B. Hou, G.T. Wang, Q.X. Tang, “Novel change detection in SAR imagery using local connectivity,” IEEEGeoscience and Remote Sensing Letters, Vol. 10,No.1,pp.174-178, 2013 (SCI).

(2) Object Detection & Recognition
1. Cheolkon Jung, Jianpeng Yin, "SQI-Based Illumination Normalization for Face Recognition Based on Discrete Wavelet Transform," Proc. IEEE ICIP 2016 (EI).
2. Cheolkon Jung, Tian Sun, Licheng Jiao, “Eye detection in varying illumination using the retinex theory,” Neurocomputing,Vol.113,pp.130-137, 102004, 2013 (SCI)."2015Best Paper Award in National PhD Conference"
3.Cheolkon Jung, Licheng Jiao, Tian Sun, “Illumination invariant eye detection in facial images based on the Retinex theory,” Lecture Notes in Computer Science (IscIDE 2011), Vol. 7202, pp. 175-183, 2012 (EI).
(3) Motion Estimation and Segmentation
1.Cheolkon Jung, Licheng Jiao, Maoguo Gong, “A novel approach to motion segmentation based on gamma distribution,” AEU International Journal of Electronics and Communications, Vol. 66, No. 3, pp. 235-238, 2012 (SCI)
2. Cheolkon Jung, Licheng Jiao, Maoguo Gong, “New optical flow approach for motion segmentation based on gamma distribution,” Lecture Notes in Computer Science (MMM 2010), Vol. 5916, pp. 444-453, 2010 (EI).
3.Cheolkon Jung, Joongkyu Kim, “Automatic segmentation of non-rigid objects in image sequences using spatiotemporal information,” Lecture Notes in Computer Science (PSIVT 2009), Vol. 5414, pp. 562-573, 2009 (EI).
(4) Videotext Detection, Segmentation, and Recognition
1. Cheolkon Jung, Licheng Jiao, “Korean-English bilingual videotext recognition for news headline generation based on a split-merge strategy,” Journal of Real-time Image Processing, Vol. 11, No. 1, pp. 167-177, 2016 (SCI).
2. Cheolkon Jung, Qifeng Liu, Joongkyu Kim, “Accurate text localization in images based on SVM output scores,” Image and Vision Computing, Vol. 27, No. 9, pp. 1295-1301, 2009 (SCI).
3. Cheolkon Jung, Qifeng Liu, Joongkyu Kim, “A stroke filter and its application to text localization,” Pattern Recognition Letters, Vol. 30, No. 2, pp. 114-122, 2009 (SCI).
4. Cheolkon Jung, Qifeng Liu, Joongkyu Kim, “A new approach for text segmentation using a stroke filter,” Signal Processing, Vol. 88, No. 7, pp. 1907-1916, 2008 (SCI).

全球性人才培养项目（2019年~）
2020 Happy New Year at “温暖中国" (国际处主持, **)
1. 研究目标：深度学习与智能视频监控
2. 合作单位：成均馆大学 (韩国) - 西安电子科技大学 (中国) - 全南大学 (韩国)
3. 合作期间: 1年 (2019年9月~2020年8月)
4. 主要活动

2019年6月, 在韩国成均馆大学开展第一次研讨会；

2019年6月18日，签订协议全球性ICT人才培养项目（IITP）;
2019年6月20日, 召开各单位负责人启动会议 (地点: 成均馆大学)；
2019年7月9日，成均馆大学Prof. J.K. Kim来到媒体实验室进行学术报告和交流(地点：100号楼210室)；
题目：深度学习与数据科学
2019年8月12日, 两位博士生来到西电开始长期国际合作研究；
成均馆大学-Jonghyun Kim, 全南大学-Sungmin Hwang
2019年8月13日, 国际合作项目启动会议；
成员: 郑喆坤(PI),孙天, Jonghyun Kim, Sungmin Hwang, 居术涛, 李盈, 曹若迪, 石山蒙
2019年10月17日，国际研究生的"新的实验室地点":红楼3楼303室；
2019年10月23日，在西安电子科技大学，开展第二次"AI智能视频监控"国际研讨会并进行学术报告和交流；
海外专家：成均馆大学Prof. Joongkyu Kim和Mr. Inyong Yun
地点：会议室（红楼315室）
2019年11月14日，在成均馆大学，进行Mr. Inyong Yun (国际研究生)的博士学位答辩；
2019年12月28日，全南大学Mr. Joohwan Lee来到西电开始长期合作研究 (红楼3楼311室)；
2020年1月16日，在西安电子科技大学，开展第三次"AI智能视频监控"国际研讨会并进行学术报告和交流；
地点：会议室（红楼315室）
2020年春季 (2月~ )：因冠状病毒扩散，进行视频会议（用ZOOM和Skype）；
5. 主要成果

Papers
[1] Jonghyun Kim, Gen Li, Inyong Yun, Cheolkon Jung, and Joongkyu Kim, "Weakly Supervised Temporal Attention 3D Network for Human Action Recognition," Pattern Recognition, 2021(SCI).
[1]Jonghyun Kim, Gen Li, Inyong Yun,Cheolkon Jung, and Joongkyu Kim, "Edge and Identity Preserving Network for Face Super-Resolution," Neurocomputing, 2021 (SCI)
[2] Seongmin Hwang, Juhwan Lee, Cheolkon Jung, Jinyoung Kim, "Attention-Aware Linear Depthwise Convolution for Single Image Super-Resolution," Proc. SMA, 2020 (EI).

6. 参考材料
科技部, 进行全球性人才培养项目 (2019年6月10日, TopDaily)
http://www.topdaily.kr/news/articleView.html?idxno=57467

中韩合作项目（2014年~2019年）

1. 研究目标：开发高清3D电视关键技术
2. 合作单位：成均馆大学(Sungkyunkwan University)数字信号处理实验室
(Director: Prof. Joongkyu Kim)
3. 合作期间：3年（2014年4月至2017年3月）

4. 主要活动

2014年4月，在韩国成均馆大学开展第一次研讨会；

2014年11月，在西安电子科技大学开展第二次研讨会：Schedule

2015年2月，在韩国成均馆大学开展第三次研讨会；

2015年6-7月，在西安电子科技大学第一次短期国际合作科研交流：6月29日-7月18日（3周）；
http://see.xidian.edu.cn/media/xml-news-4.html

2015年7月，在成均馆大学国际合作方案协议：7月21日-7月28日；

2015年11月，在西安电子科技大学媒体实验室开展第四次研讨会：11月26日-11月29日；
2016年6月，举办“中韩科学合作论坛”：6月20日-23日；

2016年8月，在西安电子科技大学第二次短期国际合作科研交流：8月10日-8月26日（3周）；
2016年10月，陕西省科技厅组织的本项目中期检查：10月27日；

2017年1-2月，在韩国成均馆大学第三次短期国际合作科研交流： 1月21日-2月4日；

2018年2月，在韩国成均馆大学第四次短期国际合作科研交流： 2月3日-23日（3周）；

2018年4-8月，在西安电子科技大学第五次长期国际合作科研交流：4月12日-8月22日（5个月）；

2018年8月，在韩国成均馆大学开展第五次研讨会： 8月22日-28日；

2019年1-2月，在韩国成均馆大学开展第六次研讨会： 1月31日-2月12日；
2020年12月7日，在西安电子科技大学进行结题报告和项目验收会；

5.参考资料
韩国成均馆大学代表团一行来西电交流座谈 (2018年8月17日)
http://news.xidian.edu.cn/info/2106/201220.htm
第二届中国韩人科学家协会学术会议举办（2016年12月3日）
http://kseach.org/ksc/archives/213

韩国成均馆大学代表团来校访问签署校际合作协议（2016年11月3日）
http://news.xidian.edu.cn/info/2101/95119.htm

Times Higher Education Asia University Rankings 2015（2015年6月10日）
https://www.timeshighereducation.co.uk/world-university-rankings/2014-15/regional-ranking/region/asia
西安电子科技大学获2014年度中韩联合研究项目资助（2014年4月5日）
http://www.xde6.net/view-43529.html

2014年韩国大学排名（韩国中央日报大学评价）
http://chinese.joins.com/gb/article.do?method=detail&art_id=125680&category=004001

中韩合作项目-主要成果

Standards Contributions
1)Cheolkon Jung, Fei Xue, Joongkyu Kim, “Perceptual Stereo Video Coding Based on Depth-of-Focus Blur Effects,” ISO/IEC JTC1/SC29/WG11 MPEG2016/M38375, 2016, Geneva, Switzerland.

Papers
1)Inyong Yun, Cheolkon Jung, Xinran Wang, Alfred O Hero, and Joongkyu Kim, “Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment,” IEEE Access, vol. 7, pp. 23027-23037, 2019 (SCI)
2)Yiwei Wang, Cheolkon Jung, Inyong Yun, Joongkyu Kim, “SPFEMD: Super-Pixel Based Finger Earth Mover\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'s Distance for Hand Gesture Recognition,” Proc. IEEE ICASSP, 2019 (EI).
3) Inyong Yun, Byunghyun Kwon, Cheolkon Jung, Joongkyu Kim, "Bi-Directional Depth Propagation for 2D-to-3D Conversion with Color/Depth-Based Superpixel Segmentation," Proc. ICEIC, pp. 1016-1019, 2019 (EI)
4)Shengtao Yu, Cheolkon Jung, Inyong Yun, Joongkyu Kim, "Intensity-Guided Depth Upsampling Using Edge Sparsity and Weighted L0 Gradient Minimization," Proc. IEEE ICIP, pp. 1483-1487, 2018 (EI).
5) Jiji Cai, Liang Chang, Hongbin Wang, Cheolkon Jung, Joongkyu Kim, “Boundary-Preserving Depth Upsampling without Texture Copying artifacts and Holes,” Proc. IEEE ISM, pp. 1-5, 2017 (EI)
6) Inyong Yun, Seokhoon Boo, Cheolkon Jung, Joongkyu Kim, "Moment-Based Dense Correspondence Matching Robust to Image Variation," Proc. IEEE ISM, pp. 260-263, 2017 (EI)
7) Inyong Yun, Cheolkon Jung, Joongkyu Kim, “Stereo-Plus-Depth Imaging System,” Proc. IEEE ICIP, 2017 (EI)
8) Cheolkon Jung, Shengtao Yu, Joongkyu Kim, “Intensity-Guided Edge-Preserving Depth Upsampling through Weighted L0 Gradient Minimization,”Journal of Visual Communication and Image Representation, vol. 42, pp. 132-134, 2017(SCI)
9) Inyong Yun, Cheolkon Jung, Joongkyu Kim, “Accurate Depth Image Acquistion by Combining Kinect and Stereo Cameras,” Proc. ICEIC 2017, 2017(EI)
10) Tian Sun, Cheolkon Jung, Lei Wang, Joongkyu Kim, “Rapid Learning-Based Video Stereolization Using GPU Acceleration,” Journal of Electronic Imaging, vol. 25, no. 5, 053021, 2016 (SCI)
11)Shengtao Yu, Cheolkon Jung, Joongkyu Kim, “Color-Guided Boundary-Preserving Depth Upsampling Based on L0 Gradient Minimization,” Proc. IEEE VCIP, 2016 (EI)
12) Fei Xue, Cheolkon Jung, Joongkyu Kim, "Disparity-Based Just-Noticeable-Difference Model for Perceptual Stereoscopic Video Coding Using Depth of Focus Blur Effect,"Displays, vol. 42, pp. 43-50, 2016 (SCI)
13) Cheolkon Jung,Xufeng Chen, Jiji Cai,Haozhen Lei,Inyong Yun, and Joongkyu Kim, “Boundary-Preserving Stereo Matching with Certain Region Detection and Adaptive Disparity Adjustment,”Journal of Visual Communication and Image Representation, vol. 31, pp. 14-25, 2015 (SCI)
14) Cheolkon Jung, Lihui Cao, Hongmin Liu, Joongkyu Kim, “Visual comfort enhancement in stereoscopic 3D images using saliency-adaptive nonlinear disparity mapping,”Displays, vol. 40, pp. 17-23, 2015 (SCI)
15)Inyong Yun,Cheolkon Jung, Joongkyu Kim, "A novel stereo matching method using guided image filtering," Proc. IPIU, 2015。

Patents
1)Seokhoon Boo, Inyong Yun, Byunghyun Kwon, Hyunryun Kang, Joongkyu Kim,郑喆坤,
"SIFT ??????????????????????????," Korea Patent Application (2016-11-2)。
2)Joongkyu Kim,郑喆坤,Inyong Yun,Byunghyun Kwon, Seokhoon Boo, Hyunryun Kang,
"?? ?? ?? ? ?? ?? ??,"Korea Patent Application (2016-11-2)。授权（2018-4-6）
3) 郑喆坤, 薛飞, 刘红民, 崔玉, Joongkyu Kim, Inyong Yun, Byunghyun Kwon,
“一种基于DOF的恰可察觉误差模型的感知立体视频编码方法,” 中国专利局。授权（2017-7-4, CNB）
4) 郑喆坤，刘红民, 王帅，崔玉, Joongkyu Kim, Inyong Yun, Byunghyun Kwon,
“一种基于显著自适应的视觉舒适预测及非线性映射的视觉舒适增强的方法,” 中国专利局 (ZL20**;2014-12-11)。授权（2016-9-28, CNB）
5) 郑喆坤，陈瑶，薛飞，崔玉，Joongkyu Kim, Inyong Yun, Byunghyun Kwon,
“一种感知率失真的优化方法,”中国专利局（ZL4.6; 2015-04-30)。授权（2017-12-19,CN**82B)

Stereo-plus-Depth ImagingSystem (Demonstrated at IEEE ICIP 2017)

产学研合作项目(2018年~)

新数字媒体与通信技术(2018.10 ~ 2019.12)
论文：
[1]Lin Mei and Cheolkon Jung, "Deep Fusion of RGB and NIR Paired Images Using Convolutional Neural Networks ," Proc. ICPR, 2020 (EI).
[2] Kailong Zhou, Cheolkon Jung, Shengtao Yu, "Scale-Aware Multispectral Fusion of RGB and NIR Images Based on Alternating Guidance," IEEE Access, vol. 8, pp. 173197- 173207,2020 (SCI).
[3] Zeming Wei, Cheolkon Jung, and Chen Su, "RegiNet: Gradient Guided Multispectral Image Registration Using Convolutional Neural Networks," Neurocomputing, vol. 415, pp. 193-200, 2020 (SCI).
[4] Cheolkon Jung, Kailong Zhou, Jiawei Feng, "FusionNet: Multispectral Fusion of RGB and NIR Images Using Two Stage Convolutional Neural Networks," IEEE Access, vol. 8, pp.23912-23919,2020 (SCI)
[5] Tian Sun, Cheolkon Jung, Qingtao Fu, Qihui Han, “NIR to RGB Domain Translation Using Asymmetric Cycle Generative Adversarial Networks,” IEEE Access, vol. 7, pp. 112459-112469, 2019 (SCI).
[6] Kailong Zhou, Cheolkon Jung, "Multispectral Fusion of RGB and NIR Images Using Weighted Least Squares and Alternating Guidance," Proc. IEEE ICASSP, pp 1489-1493, 2020 (EI).
[7] Qingtao Fu, Cheolkon Jung, Chen Su, “Color Recovery from Multi-Spectral NIR Images Using Gray Information,” Proc. ACM Multimedia Asia, 2019 (EI).
[8] Shengtao Yu, Cheolkon Jung, Kailong Zhou, Chen Su, “RSC-DGS: Fusion of RGB and NIR Images Using Robust Spectral Consistency and Dynamic Gradient Sparsity,” Proc. ACM Multimedia Asia, 2019 (EI).

产学研合作项目(2012年~2017年)

HEVC Main 10 Profile-Based HDR Video Coding & Its Standardization
(2015.10-2016.9) 优秀合作项目
参与人: 郑喆坤(PI), 于胜韬, 付庆涛(博士生), 柯鹏, 陈瑶, 杨歌, 林桥洲, 于龙(硕士生);
专利：
[1] Cheolkon Jung, Shengtao Yu, Peng Ke, Ming Li, Ping Wu, Guoqiang Shang, Zhao Wu,PICTURE ENCODING AND DECODING METHODS AND APPARATUSES , AND PICTURE ENCODING AND DECODING SYSTEM, US Patent, US**B2, 2020-6-9.
[2] 郑喆坤, 于胜韬, 陈瑶, 林桥洲, 一种用于视频图像的编码方法和装置, 中国专利局, CN3.7, 2016-1-31.
[3] 郑喆坤, 付庆涛, 杨歌, 一种图像像素采样值转换、采样值处理方法及装置, 中国专利局, CN9.1, 2016-2-2.
[4] 郑喆坤, 于胜韬, 柯鹏, 一种基于自适应感知量化的视频编码方法和系统, 中国专利局, CN7.8, 2016-1-31.
[5] 郑喆坤, 林桥洲, 于胜韬, 媒体数据处理方法和装置及系统, 中国专利局, CN0.X, 2016-5-16.
国际标准提案(MPEG)：
[1] Cheolkon Jung, Yao Chen, Qiaozhou Lin, Ming Li, Ping Wu, "Optimization of HEVC Main 10 Coding in HDR Videos Using Perceptual Block Merging," ISO/IEC JTC1/SC29/WG11 MPEG2015/M37073, 2015, Geneva, CH.
[2] Cheolkon Jung, Shengtao Yu, Qiaozhou Lin, Ming Li, Ping Wu, “Optimization of HEVC Main 10 coding in HDR videos Based on Disorderly Concealment Effect,” ISO/IEC JTC1/SC29/WG11/ JCTVC-W0066, 2016, Sandiego, USA.
[3] Cheolkon Jung, Qingtao Fu, Ge Yang, Ming Li, Ping Wu, “Adaptive Quantization-Based HDR video Coding with HEVC Main 10 Profile,” ISO/IEC JTC1/SC29/WG11/ JCTVC-W0068, 2016, Sandiego, USA.
[4] Cheolkon Jung, Shengtao Yu, Peng Ke, Ming Li, and Ping Wu, “Adaptive PQ: Adaptive Perceptual Quantizer for HDR video Coding with HEVC Main 10 Profile,” ISO/IEC JTC1/SC29/WG11/ JCTVC-W0071, 2016, Sandiego, USA.
[5] Cheolkon Jung, Shengtao Yu, Long Yu, Ming Li, Ping Wu, “Adaptive Perceptual Quantizer for HDR Video Coding,” ISO/IEC JTC1/SC29/WG11 JCTVC-X0063, 2016, Geneva, Switzerland.
[6] Cheolkon Jung, Qiaozhou Lin, Shengtao Yu, Ming Li, Ping Wu, “Backward Compatible Opto-Electrical Transfer Function for HDR Video Coding Based on Rational Quantization,” ISO/IEC JTC1/SC29/WG11 JCTVC-X0064, 2016, Geneva, CH.
[7] Cheolkon Jung, Qiaozhou Lin, Shengtao Yu, “HEVC Encoder Optimization Based on Perceptual Block Merging,” ISO/IEC JTC1/SC29/WG11 JCTVC-X0070, 2016, Geneva, CH.
论文：
[1]Qingtao Fu, Cheolkon Jung, Ge Yang, Yi Liu, "Weighted Chroma Downsampling and Luma-Referenced Chroma Upsampling for HDR/WCG Video Coding," IEEE Access, 2019 (SCI).
[2] Shengtao Yu, Cheolkon Jung,"Adaptive Perceptual Quantizer for High Dynamic Range Video Compression," Journal of Visual Communication and Image Representation, 2018 (SCI).
[3] Qingtao Fu, Cheolkon Jung, Ge Yang, "Weighted Chroma Downsampling and Luma-Referenced Chroma Upsampling for HDR/WCG Video Coding," Proc. IEEE ICIP, 2018 (EI).
[4] Shengtao Yu, Cheolkon Jung, and Qiaozhou Lin, "HEVC Encoder Optimization for HDR Video Coding Based on Irregularity Concealment Effect," Signal Processing: Image Communication, vol. 64, pp. 68-77, 2018 (SCI)
[5] Qingtao Fu, Cheolkon Jung, Ge Yang, “Adaptive Quantization-Based HDR Video Coding with HEVC Main 10 Profile,” Proc. IEEE ISM, 2017 (EI)
[6] Shengtao Yu, Cheolkon Jung, Peng Ke,“Adaptive PQ: Adaptive Perceptual Quantizer for HEVC Main 10 Profile-Based HDR Video Coding,” Proc. IEEE VCIP, 2016 (EI)
[7] Cheolkon Jung, Qiaozhou Lin, Shengtao Yu, “HEVC Encoder Optimization for HDR Video Coding Based on Perceptual Block Merging,” Proc. IEEE VCIP, 2016 (EI)
[8] Qiaozhou Lin, Cheolkon Jung, Shengtao Yu, “Backward Compatible Opto-Electrical Transfer Function for HDR Video CodinBased on Rational Quantization,” Proc. IEEE VCIP, 2016 (EI)
[9] Cheolkon Jung, Yao Chen, Qiaozhou Lin, "Perceptual Block Merging for Quadtree-Based Partitioning in HEVC Using Disorderly Concealment Effect," Proc. IEEE VCIP, 2015 (EI)
[10] Yao Chen, Cheolkon Jung, Qiaozhou Lin, Ming Li, Ping Wu, “Perceptual Rate Distortion Optimization Based On Free Energy-Based Just Noticeable Difference Model,” ZTE Communications, 2016.

Low Light Video Enhancement (2015.10-2016.8)

参与人: 郑喆坤(PI), 付庆涛, 苏浩楠, 韩其辉, 常亚坤(博士生), 柯鹏, 孙婷婷, 杨琦(硕士生);
专利：
[1] METHOD FOR PROCESSING IMAGE AND APPARATUS FOR EXECUTING THE METHOD
[2] APPARATUS AND METHOD FOR PROCESSING IMAGE
论文：
[1]Qi Yang, Cheolkon Jung, Qingtao Fu, Hyoseob Song, "Low Light Image Denoising Based on Poisson Noise Model and Weighted TV Regularization," Proc. IEEE ICIP, 2018 (EI).
[2] Yakun Chang, Cheolkon Jung, Peng Ke, Hyoseob Song, Jungmee Hwang, “Automatic Contrast Limited Adaptive Histogram Equalization with Dual Gamma Correction,”IEEE Access, vol. 6, pp. 11782-11792, 2018 (SCI)
[3] Tingting Sun, Cheolkon Jung, Peng Ke, Hyoseob Song, Jungmee Hwang, “Readability Enhancement of Low Light Videos Based on Discrete Wavelet Transform,” inProc. IEEE ISM, pp. 342-345, 2017 (EI)
[4] Cheolkon Jung, Qi Yang, Tingting Sun, Qingtao Fu, Hyoseob Song, “Low Light Image Enhancement with Dual-Tree Complex Wavelet Transform,” Journal of Visual Communication and Image Representation, vol. 42, pp. 28-36, 2017 (SCI)

Ambient Light Adaptive Display Enhancement
(2014.12-2015.11)
参与人: 郑喆坤(PI), 苏浩楠, 张振东(博士生), 王露, 柯鹏(硕士生);
专利：
[1] 郑喆坤, 苏浩楠, 杜元甲, 王舒瑶, 一种环境光下的图像增强方法, 中国专利局, CN8.2, 2016-01-31.
[2] 郑喆坤, 王露, 杜元甲, 王舒瑶, 一种提升图像质量的方法和装置, 中国专利局, CN5.X, 2015-11-27.授权(2018.5.16)
论文：
[1]Haonan Su, Cheolkon Jung, Lu Wang, Shuyao Wang, and Yuanjia Du, "Adaptive Tone Mapping for Display Enhancement under Ambient Light Using Constrained Optimization," Displays, 2019 (SCI).
[2] Haonan Su, Cheolkon Jung, Shuyao Wang, Yuanjia Du, "Readability Enhancement of Displayed Images Under Ambient Light," IEEE Transactions on Circuits and Systems for Video Technology, 2017 (SCI)
[3] Haonan Su, Cheolkon Jung, Shuyao Wang, Yuanjia Du, "Adaptive Enhancement of Luminance and Details in Images Under Ambient Light," Proc. IEEE ICASSP, pp. 1219-1223, 2016 (EI).

2D to 3D (2012.5-2013.4)

参与人: 郑喆坤(PI), 孙天(博士生), 朱孝华, 王磊, 孙增增(硕士生);
[1] 郑喆坤, 韩明臣, 孙增增, 焦李成, 一种生成虚拟视图的方法及装置, 中国专利局, CN8.X (CNB)。授权(2017.6.6)
[2] 韩明臣, 郑喆坤, 王磊, 侯彪, 帧图像转换方法、帧视频转换方法及装置, 中国专利局, CN6.X (CNB)。授权(2016.4.6)
[3] Cheolkon Jung, Mingchen Han, Zengeng Sun, Licheng Jiao, “Virtual View Generating Method and Apparatus,” US patent application, A1 (US**B2), 2014.12.15。授权(2016.12.13)
[4] Mingchen Han,CheolkonJung, Lei Wang, Biao Hou,“Image fr[ant]ame Conversion Method and Video fr[ant]ame Conversion Method and Apparatus,” US patent application, A1 (US**B2), 2014.12.17。授权(2016.12.27)
论文:
[1] Cheolkon Jung, Lei Wang, Xiaohua Zhu, Licheng Jiao, "2D to 3D Conversion with Motion-Type Adaptive Depth Estimation," Multimedia Systems, Vol. 21, No. 5, pp. 451-464, 2015 (SCI).
[2] Cheolkon Jung, Xiaohua Zhu, Lei Wang, “2D to 3D Conversion in 3DTV Using Depth Map Generation and Virtual View Synthesis,” Proc. ICMT 2013, pp. 596-603, 2013 (EI).
[3] Zengzeng Sun, Cheolkon Jung, "Real-time Depth-Image-Based Rendering on GPU," Proc. CyberC, pp. 324-328, 2015 (EI).

产学研导向

本科研团队已具备国际领先的硬软件技术力量和研究人员，通过科研成果产业化，为IT行业发展做出贡献。
（帮助解决企业的有些科研中遇到的难点，积极补助企业科研Outsourcing）
合作方式：
(1) 技术咨询；
(2) 专利转让；
(3) 委托或共同研究（具体地按照学校指南）；
合作内容：
(1) H.265 & HDR Video Coding;
(2) Deep Leaning-Based Computer Vision;
(3)Computational Photography &Display Enhancement;
(4) Real-time Image Processing with GPU Acceleration;
(5) Super-Resolution/Denoising/Deblocking/Deblurring/Deringing;
(6) Semantic Image Understanding & Multimedia Retrieval;
(7) Stereoscopic 3D Video Processing & DIBR;
转让可以的专利：
(1) 一种基于显著自适应的视觉舒适预测及非线性映射的视觉舒适增强的方(CN20**);
(2) 基于GPU加速的图像实时超分辨重建方法 (CNB);
(3) 基于梯度一致性与各向异性正则化的超分辨图像重建方法 (CNB);
(4) 基于字典学习和非局部总变差的图像超分辨方法(CNB);
(5) 基于样本学习和深度图像传播的2D视频立体化方法(CNB);
(6) 基于特征权重学习与核稀疏表示的图像分类方法 (CNB);
(7) 基于凸优化的人脸超分辨率方法(CNB);
(8) 利用3D字典消除3D播放系统中块效应的方法(CNB);
(9) 基于约束自适应传递的半监督图像分类方法(CN);
(11) 基于稀疏表示的去块效应方法(CNB);
(12) 利用流形谱聚类进行图像分割的方法(CNB);
(13) 基于集成支撑矢量机排序的信息检索方法(CNB);
联系方式
电子邮箱：zhengzk@xidian.edu.cn
办公地点：北校区（太白南路2号）一百号楼217

课程教学
Bridgethe gap between text book andscientific research!

课程：数字视频处理与分析（研究生, 全英语授课）
1. 时间: 2019年秋季，每周三下午7-8节;
2. 地点：北校区一百号楼210室;
3. Syllabus: pdf
4. Contents
1) Course Introduction: material;
2) Video Basics: material;
3) Student projects: material;
5. Notice
(2019-09-02) The first class will begin at September 2(Wednesday), 2019;
(2019-09-18) The class of Sep. 25 is changed to PM 3:00, Sep. 26;
(2019-09-20) One page summary submission for student projects: Sep. 26, 2019:template;
(2019-09-20) Proposal presentation of student projects will be scheduled as follows:
- PPT submission: Oct. 13, 2019, example;
- Rehearsal: AM 9:30, Oct. 10, 2019 @ #203;
- Presentation: Oct. 16, 2019;

本科毕业设计
Freshman Guide（2020-11-24）
本科生毕业设计
2013届:那思洋，陈瑶，苏浩楠；
2014届: 林桥洲；
2015届: 常亚坤，候秋侠，王亦玮；
2016届: 孙俊，居述涛；
2017届: 刘杰；
2018届: 李根；
2019届: 刘佳德；
2020届: 胡钰松，童峥；
2021届: 张景皓；

主要活动
　1)周报: 星期五上午1,2节;
2) Technical disucussion at every week at 320室 (北校区办公楼);
3) Kick-off meeting：AM 9:30，Dec. 18, 2020；

主要成果
2013届陈瑶荣获"陕西省第六届自动化专业本科优秀毕业设计（论文）大赛二等奖"(2013年12月)；
论文题目:Content Adaptive Deblocking Filter for BDCTCompressed Images
陕西省自动化学会

卓越班学习导师

We are dreamers, and making our dreams come true through science and technology。

《2015年第一次自由讨论》
2014年级卓越班 (电院):11名
郑悦，黄瑞，方可，刘程堪，黄学军，张明朱，高粼遥，张文，牛忠晴，杨剑娟，范啸恬
主要活动

2016年
(2016.11.4)Introduction of XDU-SKKU "4+2 Program" and "Intern-Lab Program" at South Campus (with SKKU faculties);

2015年
(2015.5.14) 1st Panel discussion at South Campus (research introduction by 柯鹏, free discussion);
(2015.5.28) 2nd Panel discussion at South Campus (research introduction by 陈瑶, free discussion);
(2015.6.5) Media Lab workshop at North Campus (Lab & research introduction, banquet);

2014年
(2014.11.12) Kick-off meeting with all at South Campus (introduction, Q&A);
(2014.11.21) Lunch meeting with the monitor郑悦 atSouth Campus (discussion on campus life);
(2014.11.27) Tea-time with 5 students at South Campus (discussion on freshman\\\\\\'s classes);
(2014.12.4) Tea-time with the other 6 students at South Campus (discussion on science and technology);
(2014.12.12) First meeting at North Campus:
1) Life change due to science and technology;
2) Introduction &demonstration on3DTV technology;
3) Scientific footfrint on Marie Curie;
(2014.12.21) Tea-time with all at South Campus (discussion on final test exams);

荣誉获奖

1. The Second Runner (USD200), Grand Challenge on NIR Colorization，IEEE VCIP2020。
2. 荣获“2016年优秀合作项目奖”，中兴通讯，2017年。
3.入选首批"华山青年****(Xidian Young-Fellow)"，西安电子科技大学， 2014年。
4. 荣获"第六届自动化专业优秀毕业设计（论文）大赛二等奖"，陕西省自动化学会，2013年。
5. 荣获"三秦友谊奖"，陕西省人民政府，2012年。
6. 入选国家首批""， 2011年。(全职引进的海外高层次人才)
7. 入选第二批"陕西省****"， 2010年。
8. 荣获“春季学术大会论文奖”， A study on preprocessing of depth image for 3D service based on DIBR，韩国情報处理学会，2009年。
9.入选”青年科****“，韩国科学财团研究支援局，2008年。

推荐读物
1.我校柯鹏等3名研究生喜获第四届“工程硕士实习实践优秀成果获得者”荣誉称号（研究生院网站2018年6月12日）
https://gr.xidian.edu.cn/info/1041/6594.htm
2.西电郑喆坤团队获中兴通讯产学研优秀合作项目奖（西电新闻网讯2017年3月20日）
http://news.xidian.edu.cn/info/2106/196172.htm
3.西电举办华山青年****国际论坛百余名****与会（西电新闻网讯2016年12月22日）
http://news.xidian.edu.cn/info/2101/195665.htm
4.西电新增两个陕西省国际科技合作基地（西电新闻网讯2016年9月9日）
http://news.xidian.edu.cn/info/2106/94439.htm
5.西安电子科技大学承办“2016中韩科学合作论坛”（西电新闻网讯2016年7月4日）
http://news.xidian.edu.cn/view-53205.html
6.西安电子科技大学博士生获全国博士生年会优秀论文奖（陕西省教育厅2015年6月2日）
http://www.snedu.gov.cn/jynews/rdjj/201506/02/49213.html
7.西安电子科技大学媒体实验室成立暨揭牌仪式举行（西电新闻网讯2015年5月27日）
http://news.xidian.edu.cn/view-48855.html
8.西电举行首批“华山****”入选者迎新交流会（西电新闻网讯2015年1月19日）
http://202.117.124.135/view-47652.html

9.韩美比利时等多国8位外国专家获“三秦友谊奖”（华商报2013年1月7日）
http://news.hsw.cn/system/2013/01/07/.shtml
10. 我愿做建设西电的一块砖头（西电科大报2012年11月24日）
http://paper.xde6.net/html/xdpaper/**/xdpaper5146.html
11. 做心灵单纯的研究者和有耐心的教师（西电科大报2012年1月14日）
http://www.xde6.net/view-32055.html

招生信息

招生信息
(2021.4.14) 招生2022年硕士研究生（包括保送生、优研计划）
学科：信息与通信工程、控制科学与工程、电子与通信工程
咨询Email:zhengzk@xidian.edu.cn
.....................................................................................
Q&A
1. 问：您想招什么样的学生？
答:有社会责任心，热爱科研，最有可能未来成为IT领域上的带头人物。
2. 问：你的团队有什么专业特色？
答：研究方向属于图像和视频信息智能处理。研究内容为学术界和产业界最关注之一的3DTV关键技术、图像超分辨技术、基于深度学习的机器智能化研究。团队里有和谐团结的5名博士生和15名硕士生。
3. 问：什么样的学生适合你的研究方向？
答：有较强的数学分析能力和编程能力的学生能够顺利完成研究课题，而且感到特有兴趣，在数学方面有突破力的电子信息、计算机、数学和物理专业学生，本领域中会发挥学科交叉优势。
4. 问：老师，跟学生交流用什么语言？
答：欢迎使用双语，上课、阅读文献、讨论和指导时也可以用英语。
5. 问：英语口语不是很好，能顺利完成毕业课题吗？
答：能。通过考研的同学入学一个月之后，交流都不存在问题，直到毕业时，除了专业研究成果（发表国际论文等）以外，有明显的口语提高。
6. 问：老师，收不收调剂生？
答：选择导师的“初衷”非常重要，最近几年只收第一志愿者。
7. 问：今年招生几名学生？往年招生情况如何？
答：有增加的名额。

2022年招生计划：博士生1-2名, 硕士生5名
学科：信息与通信工程，控制科学与工程，电子与通信工程;
（咨询，请 Email:zhengzk@xidian.edu.cn，会及时答复）