Title :
A new criterion for the evaluation of image restoration quality
Author :
Tang, H. ; Cahill, L.W.
Author_Institution :
Dept. of Electron. Eng., La Trobe Univ., Bundoora, Vic., Australia
Abstract :
The quality of an image depends on the purpose for which the image is intended. The acceptable types and degrees of degradation may be quite different. Both objective quality criteria and subjective evaluation criteria are examined, and a fuzzy criterion is proposed which provides a visually and quantitatively superior performance to the present criteria in image restoration
Keywords :
fuzzy set theory; image reconstruction; degradation; fuzzy criterion; image restoration quality; objective quality criteria; subjective evaluation criteria; Degradation; Energy measurement; Humans; Image quality; Image restoration; Mathematical model; Mean square error methods; Signal restoration; Signal to noise ratio; Visual system;
Conference_Titel :
TENCON '92. ''Technology Enabling Tomorrow : Computers, Communications and Automation towards the 21st Century.' 1992 IEEE Region 10 International Conference.
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-0849-2
DOI :
10.1109/TENCON.1992.272014
