IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Regular Section
Image Quality Assessment Based on Multi-Order Visual Comparison
Fei ZHOUWen SUNQingmin LIAO
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2014 Volume E97.D Issue 5 Pages 1379-1381

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Abstract

A new scheme based on multi-order visual comparison is proposed for full-reference image quality assessment. Inspired by the observation that various image derivatives have great but different effects on visual perception, we perform respective comparison on different orders of image derivatives. To obtain an overall image quality score, we adaptively integrate the results of different comparisons via a perception-inspired strategy. Experimental results on public databases demonstrate that the proposed method is more competitive than some state-of-the-art methods, benchmarked against subjective assessment given by human beings.

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© 2014 The Institute of Electronics, Information and Communication Engineers
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