Color fractal structure model for reduced-reference colorful image quality assessment

Publisher:
Springer
Publication Type:
Journal Article
Citation:
Lecture Notes in Computer Science, 2012, 7664 pp. 401 - 408
Issue Date:
2012-01
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Developing reduced reference image quality assessment (RR-IQA) plays a vital role in dealing with the prediction of the visual quality of distorted images. However, most of existing methods fail to take color information into consideration, although the color distortion is significant for the increasing color images. To solve the aforementioned problem, this paper proposed a novel IQA method which focuses on the color distortion. In particular, we extract color features based on the model of color fractal structure. Then the color and structure features are mapped into visual quality using the support vector regression. Experimental results on the LIVE II database demonstrate that the proposed method has a good consistency with the human perception especially on images with color distortion.
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