外文题目: The study of key technology on spectral reflectance reconstruction based on the algorithm of adaptive compressive sensing
作者: Zhang Leihong; Liang Dong; Li Bei; Kang Yi; Pan Zilan; Zhang Dawei; Ma Xiuhua
刊名: Laser Phys.
年: 2016 卷: 26 期: 4 文章编号：45201
英文关键词:
adaptive compressive sensing; the iterative threshold; principal component analysis; training sample
WIENER ESTIMATION; INFORMATION
英文摘要:
In order to improve the reconstruction accuracy and reduce the workload, the algorithm of compressive sensing based on the iterative threshold is combined with the method of adaptive selection of the training sample, and a new algorithm of adaptive compressive sensing is put forward. The three kinds of training sample are used to reconstruct the spectral reflectance of the testing sample based on the compressive sensing algorithm and adaptive compressive sensing algorithm, and the color difference and error are compared. The experiment results show that spectral reconstruction precision based on the adaptive compressive sensing algorithm is better than that based on the algorithm of compressive sensing.


文献类型: 期刊论文
正文语种: English
收录类别: SCIEI
DOI: 10.1088/1054-660X/26/4/045201


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