Considering the current image de-noising methods may lose some structural features, this paper proposes an improved sparse representation based method by adopting the histogram structural similarity. When the initial over-complete dictionary was applied in the sparse decomposition, similarity factor could replace the reconstruction error as the factor of fidelity. The orthogonal matching pursuit algorithm(OMP) is used to reconstruct the denoised image. The experimental results show that the proposed method could provide better PSNR and HSSIM results compared with the wavelet transformation, th...
