Effective Image Block Compressed Sensing with Quantized Measurement

Summary form only given. 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.