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	Quality Assessment of Tone-mapped Images Based on Sparse Representation
	Xie, Lijuan ; Zhang, Xiang ; Wang, Shiqi ; Zhang, Xinfeng ; Ma, Siwei
	2016
关键词	High dynamic range image quality assessment tone-mapping operators sparse representation RESTORATION
英文摘要	Recently, an increasing number of tone-mapping operators (TMOs) have been proposed in order to display high dynamic range (HDR) images on low dynamic range (LDR) devices. Developing perceptually consistent image quality assessment (IQA) measures for TMO is highly desired because traditional LDR based IQA methods cannot support the cross dynamic range quality comparison. In this paper, a novel objective quality assessment method is proposed on the basis of sparse-domain representation, which has been well advocated as a powerful tool in describing natural sparse signals with the over-complete dictionary. Specifically, two indices, incorporating both local and global features extracted from sparsely represented coefficients, are introduced to simulate the human visual system (HVS) characteristics on HDR images. The local feature measures the sparse-domain similarity between the pristine HDR and tonemapped LDR images by leveraging the intrinsic structure with sparse coding. On the other hand, benefiting from the natural scene statistics (NSS), the global features are recovered from the sparse coefficients to account for the natural behaviors of tonemapped images. Combining the local sparse-domain similarity and the global "naturalness" prior, validations on the public database show that the proposed sparse-domain model for tonemapped images (SMTI) provides accurate predictions on the human perception of tone-mapped images.; CPCI-S(ISTP); xielijuan@pku.edu.cn; x_zhang@pku.edu.cn; sqwang@pku.edu.cn; xfzhang@jdl.ac.cn; swma@pku.edu.cn; 2218-2221
语种	英语
出处	IEEE International Symposium on Circuits and Systems (ISCAS)
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/459959]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Xie, Lijuan,Zhang, Xiang,Wang, Shiqi,et al. Quality Assessment of Tone-mapped Images Based on Sparse Representation. 2016-01-01.

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