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Proceedings Paper

Perception-based image/video quality metric using CIELAB color space
Author(s): Sertan Kaya; Travis Bennett; Mariofanna Milanova; John Talburt; Brian Tsou; Marina Altynova; Hongyan Xu
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Paper Abstract

This paper addresses the problem of color image quality assessment. The paper presents a novel image/ video quality metrics, Color-SSIM (color-based structural similarity index), based on CIELAB color model. The main drawback of the SSIM algorithm in the spatial domain is that it is highly sensitive to the translation, rotation and scaling of images. This problem can be solved by applying SSIM to the individual channels of a color image in CIELAB color space and by combining the results from the individual channels into a weighted vector mean. Experimental results show that proposed quality metric is highly correlated with the experimental data collected through subjective experiments.

Paper Details

Date Published: 2 June 2011
PDF: 6 pages
Proc. SPIE 8019, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense X, 801908 (2 June 2011); doi: 10.1117/12.883682
Show Author Affiliations
Sertan Kaya, Univ. of Arkansas at Little Rock (United States)
Travis Bennett, Univ. of Arkansas at Little Rock (United States)
Mariofanna Milanova, Univ. of Arkansas at Little Rock (United States)
John Talburt, Univ. of Arkansas at Little Rock (United States)
Brian Tsou, U.S. Air Force Research Lab. (United States)
Marina Altynova, Qbase (United States)
Hongyan Xu, Univ. of Arkansas at Little Rock (United States)


Published in SPIE Proceedings Vol. 8019:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense X
Edward M. Carapezza, Editor(s)

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