Title :
Full Reference Image Quality Assessment: Limitation
Author_Institution :
PRISME, Univ. Orleans, Orleans, France
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;
Conference_Titel :
Pattern Recognition (ICPR), 2014 22nd International Conference on
Conference_Location :
Stockholm
DOI :
10.1109/ICPR.2014.153