Pairwise comparison and rank learning for image quality assessment
•Pairwise comparison (PC), rather than conventional numerical rating of image quality, is explored for IQA.•A new optimization objective for optimizing image quality ranks is established.•Image quality ratings are used as weights in rank model additionally, making it rating-sensitive. To know what k...
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Published in | Displays Vol. 44; pp. 21 - 26 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.09.2016
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Subjects | |
Online Access | Get full text |
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