Refereed conference paper presented and published in conference proceedings
香港中文大学研究人员 ( 现职)
| 湛伟权教授 (电子工程学系) |
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| 没有全文档案提供 |
引用次数
Web of Sciencehttp://aims.cuhk.edu.hk/converis/portal/Publication/1WOS source URL
其它资讯
摘要Transform coding using the Discrete Cosine Transform (DCT) has been widely used in image and video coding standards, but at low bit rates, the coded images suffer from severe visual distortions which prevent further bit reduction. Postprocessing can reduce these distortions and alleviate the conflict between bit rate reduction and quality preservation. Viewing postprocessing as an inverse problem, we solve it via a Bayesian approach. The distortion caused by coding is modeled as additive, spatially correlated Gaussian noise, while the original image is modeled as a high order Markov random field (MRF) based on the recently proposed Fields of Experts (FoE) framework. Experimental results show that the proposed method, in most cases, achieves higher PSNR gain than other methods and the processed images possess good visual quality.
着者Sun DQ, Cham WK
会议名称32nd IEEE International Conference on Acoustics, Speech and Signal Processing
会议开始日http://aims.cuhk.edu.hk/converis/portal/Publication/15.04.2007
会议完结日20.04.2007
会议地点Honolulu
会议国家美国
详细描述organized by IEEE,
出版年份2007
月份http://aims.cuhk.edu.hk/converis/portal/Publication/1
日期http://aims.cuhk.edu.hk/converis/portal/Publication/1
出版社IEEE
页次705 - 708
国际标準书号978-http://aims.cuhk.edu.hk/converis/portal/Publication/1-4244-0728-6
国际标準期刊号http://aims.cuhk.edu.hk/converis/portal/Publication/1520-6http://aims.cuhk.edu.hk/converis/portal/Publication/149
语言英式英语
关键词Discrete Cosine Transform(DCT); Fields of Experts (FoE); Markov random field (MRF); postprocessing; quantization noise
Web of Science 学科类别Acoustics; Engineering; Engineering, Electrical & Electronic; Imaging Science & Photographic Technology
