@inproceedings{9f826f8b93e440c0b71d54d7eec3f821,
title = "Effective image block compressed sensing with quantized measurement",
abstract = "In this paper, we propose an effective quantized block compressed sensing algorithm using projected Landweber based on vicariate shrinkage (BCS PL-BS) for natural images. Moreover, an improved noise variance estimation method is presented by using soft-thresholding vicariate shrinkage model for wavelet-based image demising, which can more effectively estimate the noise variance and achieve better image reconstruction quality. Experimental results demonstrate that the reconstruction performances of the proposed algorithm outperform those of several state-of-the-art compressed sensing algorithms.",
keywords = "bivariate shrinkage, compressed sensing, dual-tree discrete wavelet transform, projected Landweber",
author = "Ying Hou and Yanning Zhang",
year = "2014",
doi = "10.1109/DCC.2014.41",
language = "英语",
isbn = "9781479938827",
series = "Data Compression Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "407",
booktitle = "Proceedings - DCC 2014",
note = "2014 Data Compression Conference, DCC 2014 ; Conference date: 26-03-2014 Through 28-03-2014",
}