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Proceedings Paper

Deblocking of JPEG-compressed images using wavelets
Author(s): Zixiang Xiong; Michael T. Orchard; Ya-Qin Zhang
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Paper 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.

Paper Details

Date Published: 4 April 1997
PDF: 11 pages
Proc. SPIE 3025, Very High Resolution and Quality Imaging II, (4 April 1997); doi: 10.1117/12.270044
Show Author Affiliations
Zixiang Xiong, Princeton Univ. (United States)
Michael T. Orchard, Princeton Univ. (United States)
Ya-Qin Zhang, David Sarnoff Research Ctr. (China)

Published in SPIE Proceedings Vol. 3025:
Very High Resolution and Quality Imaging II
V. Ralph Algazi; Sadayasu Ono; Andrew G. Tescher, Editor(s)

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