The Application of Wavelet-Based Contourlet Transform on Compressed Sensing
文献类型：会议论文
| 作者 | Du M(杜梅); Zhao HC(赵怀慈) ; Zhao CY(赵春阳); Li B(李波)
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| 出版日期 | 2012 |
| 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 |
| 关键词 | Sparse Representation Wavelet-Based Contourlet Transform Block Compressed Sensing Iterative Hard Thresholding Algorithm |
| 页码 | 570-577 |
| 中文摘要 | 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. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | 2012 International Conference on Multimedia and Signal Processing
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| 语种 | 英语 |
| WOS记录号 | WOS:000313664700072 |
| 源URL | [http://ir.sia.cn/handle/173321/10176]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 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]. 见:2012 International Conference on Multimedia and Signal Processing. Shanghai, China. December 7-9, 2012. |
入库方式： OAI收割
来源：沈阳自动化研究所
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