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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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Color fractal struct(907KB) | 限制开放 | CC BY-NC-SA | 请求全文 |
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