Effective image block compressed sensing

Ying Hou, Yanning Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

7 引用 (Scopus)

摘要

In this paper, we propose an effective block compressed sensing algorithm using projected Land Weber based on bivariate shrinkage (BCS PL-BS) for natural images, and an improved noise variance estimation method is presented by using soft-thresholding bivariate shrinkage model for wavelet-based image denoising, which can more effectively remove noise and achieve better image reconstruction quality. Futhermore, the BCS PL-BS algorithm based on DPCM quantization is depthly studied. Experimental results demonstrate that the reconstruction performances of the proposed algorithm significantly outperform those of several state-of-the-art compressed sensing algorithms.

源语言英语
主期刊名Proceedings - International Conference on Pattern Recognition
出版商Institute of Electrical and Electronics Engineers Inc.
1085-1090
页数6
ISBN(电子版)9781479952083
DOI
出版状态已出版 - 4 12月 2014
活动22nd International Conference on Pattern Recognition, ICPR 2014 - Stockholm, 瑞典
期限: 24 8月 201428 8月 2014

出版系列

姓名Proceedings - International Conference on Pattern Recognition
ISSN(印刷版)1051-4651

会议

会议22nd International Conference on Pattern Recognition, ICPR 2014
国家/地区瑞典
Stockholm
时期24/08/1428/08/14

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