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	Improved Entropy of Primitive for Visual Information Estimation
	Wang, Shurun ; Zhao, Zhenghui ; Zhang, Xiang ; Zhang, Jian ; Wang, Shiqi ; Ma, Siwei ; Gao, Wen
	2016
关键词	Entropy of primitive sparse representation orthogonal matching pursuit visual information estimation SPARSE REPRESENTATION IMAGE-RESTORATION DICTIONARIES RECOVERY
英文摘要	Sparse representation has been observed to be highly efficient in dealing with rich, varied and directional information in natural scenes. Based on the statistical analysis of primitives in sparse coding, the entropy of primitive (EoP) was proposed for measuring visual information of images, and its changing tendency has been shown to be highly relevant with the human visual system (HVS). But the sparse coefficient energy was ignored when calculating EoP, which may be critical in accounting for the primitive characteristics. To tackle this, an improved EoP is developed in this work via 2 norm calculation. We further give mathematical derivations for its convergence verification. Experimental evaluations have also demonstrated that the improved EoP can achieve more stable convergence tendencies, which is consistent with the perceptual experiences.; National Basic Research Program of China (973 Program) [2015CB351800]; National Natural Science Foundation of China [61322106, 61421062]; Shenzhen Peacock Plan; CPCI-S(ISTP); always1898pku@pku.edu.cn; zhzhao@pku.edu.cn; x_zhang@pku.edu.cn; jian.zhang@pku.edu.cn; wangshiqi@ntu.edu.sg; swma@pku.edu.cn; wgao@pku.edu.cn
语种	英语
出处	30th IEEE Conference on Visual Communications and Image Processing (VCIP)
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/459683]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Wang, Shurun,Zhao, Zhenghui,Zhang, Xiang,et al. Improved Entropy of Primitive for Visual Information Estimation. 2016-01-01.

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