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	IMAGE QUALITY ASSESSMENT BASED ON CONTOUR AND REGION
	Huang, Chen ; Jiang, Ming ; Jiang, Tingting
	2016
关键词	Image quality assessment Contour detection Image segmentation QUANTIFICATION SEGMENTATION RESOLUTION TEXTURE
英文摘要	Image Quality Assessment (IQA) is a fundamental problem in image processing. It is a common principle that human vision is hierarchical: we first perceive global structural information such as contours then focus on local regional details if necessary. Following this principle, we propose a novel framework for IQA by quantifying the degenerations of structural information and region content separately, and mapping both to obtain the objective score. The structural information can be obtained as contours by contour detection techniques. Experiments are conducted to demonstrate its performance in comparison with multiple state-of-the-art methods on two large scale datasets.; National Basic Research Program of China (973 Program) [2015CB351803]; National Science Foundation of China [61421062, 61520106004, 61572042, 61390514, 61210005, 61527084]; Sino-German Center [GZ 1025]; SCI(E); 中国科学引文数据库(CSCD); ARTICLE; 6; 705-722; 34
语种	英语
出处	CSCD ; SCI
出版者	JOURNAL OF COMPUTATIONAL MATHEMATICS
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/476683]
专题	数学科学学院 信息科学技术学院
推荐引用方式 GB/T 7714	Huang, Chen,Jiang, Ming,Jiang, Tingting. IMAGE QUALITY ASSESSMENT BASED ON CONTOUR AND REGION. 2016-01-01.

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