Compressive sensing image coding with perceptual weighting measuring matrix

Abstract

Compressive sensing is a new technology, which combines data sampling with compressing. Many applications of compressive sensing in image processing and computer vision are being explored. In this paper, we propose a compressive sensing image coding scheme with weighting measuring matrix based on just noticeable distortion, where image coefficients have been adaptively weighted according to their different visual significances. Simulation results demonstrate that the proposed method can greatly improve the quality of the reconstructed image compared with the existing algorithm. © 2012 Springer-Verlag Berlin Heidelberg.