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The Application of Wavelet-Based Contourlet Transform on Compressed Sensing
Du M(杜梅); Zhao HC(赵怀慈); Zhao CY(赵春阳); Li B(李波)
作者部门光电信息技术研究室
会议名称2012 International Conference on Multimedia and Signal Processing
会议日期December 7-9, 2012
会议地点Shanghai, China
会议录名称2012 International Conference on Multimedia and Signal Processing
2012
页码570-577
收录类别EI ; CPCI(ISTP)
EI收录号20133416655084
WOS记录号WOS:000313664700072
产权排序1
关键词Sparse Representation Wavelet-based Contourlet Transform Block Compressed Sensing Iterative Hard Thresholding Algorithm
摘要Reasonable sparse representation of signals are one of the key factors to ensure the quality of compressed sampling, so a proper sparse representing methods should be selected to make the signals sparse to the greatest extent in the applications of compressed sensing. In this paper we employed the wavelet-based contourlet transform, an improved contourlet transform, to decompose 2D images, adopted the framework of block compressed sensing to sample the images, and used the iterative hard thresholding algorithm to reconstruct the original images. Numerical experiments indicated that the runtime of the reconstruction algorithm adopting wavelet-based contourlet transform is the shortest compared to that adopting contourlet transform and that adopting wavelet transform; under low compression ratios, the quality of the reconstructed images using wavelet-based contourlet transform is superior to that using contourlet transform and that using traditional wavelet transform.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/10176
专题光电信息技术研究室
作者单位1.Department of Optical-Electronics and Information Processing, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, 110016, China
2.Graduate School of Chinese Academy of Science, Beijing, 100049, China
3.Key Laboratory of Optical-Electronics Information Processing, Chinese Academy of Science, Shenyang, 110016, China
4.Key Laboratory of Image Understanding and Computer Vision, Liaoning Province, Shenyang, 110016, China
推荐引用方式
GB/T 7714
Du M,Zhao HC,Zhao CY,et al. The Application of Wavelet-Based Contourlet Transform on Compressed Sensing[C],2012:570-577.
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