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Proceedings Paper

Limitation and challenges of image quality measurement
Author(s): Fan Zhang; Songnan Li; Lin Ma; King Ngi Ngan
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Paper Abstract

Subjectively-rated image databases have become increasingly popular in the evaluation of image quality measurement algorithms. Several groups recently have improved their metrics' performance in matching these databases, using particular HVS (human visual system) properties or image statistical models. However, it is difficult to know whether these improvements are due to progress towards mimicking the perceptual properties, or are due to matching some characteristics of the databases. This paper demonstrates an inherent limitation in using such databases, showing that our very simple metric, built on the contrast masking effect, is able to perform as good as many state-of-the-art metrics. It is also argued that existent databases neither contain enough images with particularly biased distortions to test the significance of single HVS property, nor cover diverse distortion types to reflect the requirement of emerging applications.

Paper Details

Date Published: 13 July 2010
PDF: 8 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 774402 (13 July 2010); doi: 10.1117/12.863083
Show Author Affiliations
Fan Zhang, The Chinese Univ. of Hong Kong (Hong Kong, China)
Songnan Li, The Chinese Univ. of Hong Kong (Hong Kong, China)
Lin Ma, The Chinese Univ. of Hong Kong (Hong Kong, China)
King Ngi Ngan, The Chinese Univ. of Hong Kong (Hong Kong, China)


Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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