Image de-blocking with wavelet-based multiresolution analysis and spatially variant OS filters

A novel approach for de-blocking of block based image and video compression algorithms is presented. In our algorithm a blocky image is first decomposed into approximation and detail subspaces with a J-level multiresolution analysis (MRA). In the next step, the low-pass approximation image and the high-pass detail images are processed independently with spatially adaptive order statistic (OS) filters. The proposed algorithm can effectively eliminate or reduce the blocking artifacts and is computationally efficient.