DocumentCode
177704
Title
Full Reference Image Quality Assessment: Limitation
Author
Chetouani, A.
Author_Institution
PRISME, Univ. Orleans, Orleans, France
fYear
2014
fDate
24-28 Aug. 2014
Firstpage
833
Lastpage
837
Abstract
In this work, we propose to study the universality of the Full-Reference Image Quality metrics (FR-IQMs) and show the no-relevance to use this kind of metrics without considering the degradation type contained in the image. Different experimental tests have been done in order to analyze its performance. Eight common FR-IQMs have been used and compared in terms of correlation with the subjective judgments. Obtained results show that the performance of a given FR-IQM differs totally from a degradation type to another. Therefore, we finally conclude by the pertinence of some recent works that propose alternative solutions to solve this limitation and then optimize the image quality estimation process.
Keywords
image processing; visual databases; degradation type; full reference image quality assessment; full-reference image quality metrics; image database; Degradation; Image quality; Indexes; Measurement; Transform coding; Wireless sensor networks; Full reference image quality; Image database; Subjective judgments;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2014 22nd International Conference on
Conference_Location
Stockholm
ISSN
1051-4651
Type
conf
DOI
10.1109/ICPR.2014.153
Filename
6976863
Link To Document