Content Adaptive Coding Artifact Reduction for Decompressed Video and Images

Most artifact reduction techniques blur the details of the images while removing various coding artifacts. In this paper, we propose a novel and explicit approach for classifying blocks into detailed regions, intermediate regions and smooth regions. The classification is based on the information content of the underlying region, which is quantized by local entropy calculated on the PDF of the pixel intensity distribution. The entropy is used as an indicator of how much smoothing is needed for a certain region. Experimental results show that our proposed algorithm can preserve the details and reduce coding artifacts better than more expensive state of the art techniques.