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.
Original language | English |
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Pages (from-to) | 1613-1616 |
Number of pages | 4 |
Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Volume | 3 |
Publication status | Published - 1 Jan 1996 |
Event | Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, United States Duration: 7 May 1996 → 10 May 1996 |
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Acoustics and Ultrasonics