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Title: New adaptive iterative image restoration algorithm
Authors: Choy, SSO
Chan, YH 
Siu, WC 
Keywords: Adaptive signal processing
Image restoration
Image segmentation
Iterative methods
Smoothing methods
Issue Date: 1994
Publisher: IEEE
Source: ICIP-94 : 1994 IEEE International Conference on Image Processing : proceedings : November 13-16, 1994, Austin, Texas, v. 2, p. 670-674 How to cite?
Abstract: It has been shown in the literature that adaptive regularized image restoration is superior to non-adaptive one. However, the adaptivity introduced in most proposed iterative algorithms is based only on the application of space-variant smoothing operator. It is found that these adaptive algorithms suffer from insufficient smoothing of the flat image regions. In this paper, an adaptive iterative image restoration algorithm, which applies both techniques of space-variant smoothing and space-variant restoration, is proposed to overcome the stated problem. It is shown by experiments that the restored images obtained by the proposed algorithm are better in terms of both numerical measurement and visual quality.
ISBN: 0-8186-6950-0
Rights: © 1994 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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