Post-processing for restoring
edges and removing artifacts of low bit rates wavelet-based image <Abstract> Compression artifacts are the results of an ag- attention for image coding due to its unique joint spacegressive data compression scheme applied to an image that frequency characteristics. At low bit rates, wavelet-based imdiscards some data which is determined by an algorithm to be of age coding performs significantly better than the traditional lesser importance to the overall content but which is nonetheless discernible and objectionable to the user. In this paper we present block-based algorithms in terms of image quality. However, a post-processing algorithm that focus on restoring the clarity if the quantization errors of wavelet coefficients in coded of edges and removing the compression artifacts around edges images are very large, then the reconstructed images still carry at compression ratios of 200:1 and greater. At the decoder, the obvious artifacts among smooth regions and around sharp algorithm extracts the locations of edges from reconstructed edges. Specifically, the quantization errors in high frequency image and classifies the pixels surround edges for removing sub-bands generally result in the ringing effect as well as compression ringing artifacts, then applies a linear procedure the blurring effect near sharp edges, and those in both low to restore the clarity of the edges. |