Compressive Sensing and Recovery of Image Using Uniform Block Sparsity

Abstract

In this paper, a method for compressive sensing and recovery of gray image from the samples has been proposed. To achieve this, the concept of image partitioning (Block Processing) with compressive sensing has been used. The proposed method reduces the computational complexity of the algorithm. Further, the computational time required by the proposed method is 1/9thof the time achieved by the conventional method and can be further decreased by parallel processing.