Post-processing for restoring edges and removing artifacts of low bit rates wavelet-based image

Compression artifacts are the results of an aggressive data compression scheme applied to an image that discards some data which is determined by an algorithm to be of lesser importance to the overall content but which is nonetheless discernible and objectionable to the user. In this paper we present a post-processing algorithm that focus on restoring the clarity of edges and removing the compression artifacts around edges at compression ratios of 200:1 and greater. At the decoder, the algorithm extracts the locations of edges from reconstructed image and classifies the pixels surround edges for removing compression ringing artifacts, then applies a linear procedure to restore the clarity of the edges.