<title>Deblocking of JPEG-compressed images using wavelets</title>

Abstract

This paper introduces a new approach to deblocking of JPEG compressed images using over-complete wavelet representations. By exploiting cross-scale correlations among wavelet coefficients, edge information in the JPEG compressed images is extracted and protected, while blocky noise in the smooth background regions is smoothed out in the wavelet domain. Compared with the iterative methods reported in the literature, our simple wavelet-based method has much lower computational complexity, yet it is capable of achieving the same PSNR improvement as the best iterative method, and giving visually very pleasing images as well.