A DEBLOCKING ALGORITHM FOR JPEG COMPRESSED IMAGES USING OVERCOMPLETE WAVELET REPRESENTATIONS

This paper introduces a new approach to deblocking of JPEG compressed images using overcomplete wavelet representations. By exploiting cross -scale correlations among wavelet coefficients, edge information in th e JPEG compressed images is extracted and protected, while blocky nois e in the smooth background regions is smoothed out in the wavelet doma in. Compared with the iterative methods reported in the literature, ou r simple wavelet-based method has much lower computational complexity, yet it is capable of achieving the same peak signal-to-noise ratio (P SNR) improvement as the best iterative method and giving visually very pleasing images as well.