Filter-aided recovery for block-based compressive sensing of images

This paper proposes a recovery algorithm for block-based compressive sensing of images, which iteratively performs a compressive sensing recovery and a denoising processes. The compressive sensing recovery is performed by MH-BCS-SPL, whereas the denoising is by BM3D. Experimental results show the superiority of the proposed recovery algorithm.