Title :
A deblocking algorithm for JPEG compressed images using overcomplete wavelet representations
Author :
Xiong, Zixiang ; Orchard, Michael T. ; Zhang, Ya-Qin
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ, USA
fDate :
4/1/1997 12:00:00 AM
Abstract :
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 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 peak signal-to-noise ratio (PSNR) improvement as the best iterative method and giving visually very pleasing images as well
Keywords :
code standards; correlation methods; data compression; edge detection; feature extraction; image coding; image representation; noise; smoothing methods; telecommunication standards; transform coding; wavelet transforms; JPEG compressed images; PSNR; blocky noise; computational complexity; cross-scale correlations; deblocking algorithm; edge information extraction; iterative methods; overcomplete wavelet representations; peak signal to noise ratio; smooth background regions; wavelet based method; wavelet coefficients; wavelet domain; Background noise; Computational complexity; Data mining; Image coding; Iterative methods; PSNR; Protection; Transform coding; Wavelet coefficients; Wavelet domain;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
