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Color fractal structure model for reduced-reference colorful image quality assessment
He, Lihuo; Wang, Dongxue; Li, Xuelong; Tao, Dacheng; Gao, Xinbo; Gao, Fei
2012
会议名称19th International Conference on Neural Information Processing, ICONIP 2012
会议录名称Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings
页码401-408
会议日期November 12, 2012 - November 15, 2012
会议地点Doha, Qatar
出版地Germany
会议主办者United Development Company PSC (UDC); Qatar Petrochemical Company; ExxonMobil; Qatar Petroleum; Texas A and M University at Qatar; Asia Pacific Neural Network Assembly
出版者Springer Verlag, Tiergartenstrasse 17, Heidelberg, D-69121,Germany
产权排序2
摘要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.
作者部门光学影像分析与学习中心
收录类别EI
ISBN号9783642344800
语种英语
ISSN号3029743
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/20535
专题光谱成像技术研究室
推荐引用方式
GB/T 7714
He, Lihuo,Wang, Dongxue,Li, Xuelong,et al. Color fractal structure model for reduced-reference colorful image quality assessment[C]. Germany:Springer Verlag, Tiergartenstrasse 17, Heidelberg, D-69121,Germany,2012:401-408.
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