Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1506
Title: Regularized restoration of VQ compressed images with constrained least squares approach
Authors: Choy, SSO
Yue, CN
Hong, SW
Chan, YH 
Keywords: Adaptive algorithms
Computer simulation
Image coding
Image compression
Image quality
Iterative methods
Least squares approximations
Signal to noise ratio
Vector quantization
Issue Date: 1997
Publisher: IEEE
Source: ISCAS '97 : proceedings of 1997 IEEE International Symposium on Circuits and Systems : circuits and systems in the information age : June 9-12, 1997, Hong Kong, p. 1257-1260 How to cite?
Abstract: In this paper, an iterative algorithm is proposed to restore VQ-encoded images. This algorithm incorporates adaptivity into simple CLS restoration algorithm by weighting every pixel according to its expected derivation from the original. This algorithm is fully compatible with any VQ codec to improve codec's coding performance. Computer simulations showed that the proposed scheme was superior to other conventional schemes in terms of SNR improvement. Besides, the image quality could also be improved subjectively by reducing the blocking effect.
URI: http://hdl.handle.net/10397/1506
ISBN: 0-7803-3583-X
Rights: © 1997 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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