Sparsity-based deartifacting filtering in video compression

In the last years, many sparsity based denoising approaches for image/video denoising have been proposed. Most of them exploit the image/video sparsity model under certain over-complete basis. In this paper, we unify three sparsity-based denoising techniques and apply them to the problem of video compression artifacts removal. We compare and analyze the three techniques from the aspects of operation atom, transform dimensionality, and quantization impact. Based on the provided analysis, the paper may serve as a guideline to apply sparsity-based denoising techniques to related problems.