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Title: An improved quantitative measure of image restoration quality
Authors: Choy, SSO
Chan, YH 
Siu, WC 
Keywords: Algorithms
Image reconstruction
Optical variables measurement
Signal to noise ratio
Issue Date: 1996
Publisher: IEEE
Source: The 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing : conference proceedings : May 7-10, 1996, Atlanta, Georgia, USA, v. 3, p. 1613-1616 How to cite?
Abstract: The field of image restoration lacks promising comparison vehicle for judging the effectiveness of competing algorithms. By far the most widely adopted quantitative measure of image restoration quality is the SNR improvement. However, we find that the SNR improvement is of low precision, which will adversely hinder it from being a reliable measure. It is also noted that another limitation of the SNR improvement is that it cannot reveal clearly the extent to which the image quality is improved. In this paper, we devise an alternative measure for quantitative evaluation of image restoration quality. The proposed measure is much more precise than the SNR improvement. Moreover, the proposed measure contains finite and meaningful reference points in its measurements, to provide us with a better insight into the effectiveness of restoration algorithms that under study.
ISBN: 0-7803-3192-3
Rights: © 1996 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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