@inproceedings{110bbe4296ed443abaa5da4fa72540b3,
title = "Effective image block compressed sensing",
abstract = "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.",
keywords = "Bivariate shrinkage, Compressed sensing, Projected Landweber, Wavelet transform",
author = "Ying Hou and Yanning Zhang",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 22nd International Conference on Pattern Recognition, ICPR 2014 ; Conference date: 24-08-2014 Through 28-08-2014",
year = "2014",
month = dec,
day = "4",
doi = "10.1109/ICPR.2014.196",
language = "英语",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1085--1090",
booktitle = "Proceedings - International Conference on Pattern Recognition",
}