CSV: Image quality assessment based on color,structure, and visual system |
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| Affiliation: | 1. Department of Computer Science, University of Brasília (UnB), Brasília, Brazil;2. Department of Electrical Engineering, University of Brasília (UnB), Brasília, Brazil;1. Department of Electrical and Electronic Engineering, University of Bristol, Bristol BS8 1UB, UK;2. Department of Experimental Psychology, University of Bristol, Bristol BS8 1UB, UK;1. ISTI-CNR, Italy;2. Universitat de Girona, Spain;3. MPC Ltd, UK;4. University of Warwick, UK;5. University of Bradford, UK;6. Comenius University, Bratislava, Slovakia;1. School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China;2. School of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330032, China;3. School of Computer Science and Engineering, Nanyang Technological University, 639798, Singapore |
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| Abstract: | This paper presents a full-reference image quality estimator based on color, structure, and visual system characteristics denoted as CSV. In contrast to the majority of existing methods, we quantify perceptual color degradations rather than absolute pixel-wise changes. We use the CIEDE2000, color difference formulation to quantify low-level color degradations and the Earth Mover's Distance between color name probability vectors to measure significant color degradations. In addition to the perceptual color difference, CSV also contains structural and perceptual differences. Structural feature maps are obtained by mean subtraction and divisive normalization, and perceptual feature maps are obtained from contrast sensitivity formulations of retinal ganglion cells. The proposed quality estimator CSV is tested on the LIVE, the Multiply Distorted LIVE, and the TID 2013 databases, and it is always among the top two performing quality estimators in terms of at least ranking, monotonic behavior or linearity. |
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| Keywords: | Full-reference image quality assessment Color difference equation Color name Retinal ganglion cell Suppression mechanism Color perception |
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