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	A HVS-guided approach for real-time image interpolation
	Chen, Rui ; Jia, Huizhu ; Xie, Xiaodong ; Wen, Gao
	2015
英文摘要	In this paper, we propose a novel interpolation algorithm for adapting the human visual system (HVS) and applying in real-time image upscaling. The defined statistical features are first computed in a local window of the low-resolution (LR) counterpart. Then the most correlated neighbours of a missing pixel in high-resolution (HR) image are adaptively selected based on local structural analysis for the prominent edges and fine textures. Finally, the unknown pixel values are estimated through a designed directional clustering model (DCM) which incorporates HVS information into the weighted coefficients. The extensive experimental results show that the proposed image interpolation method can accurately reconstruct the structures of HR image in term of arbitrary magnification factors and effectively suppress the jaggy/ringing artifacts with low computation complexity. ? 2015 IEEE.; EI
语种	英语
出处	Visual Communications and Image Processing, VCIP 2015
DOI标识	10.1109/VCIP.2015.7457901
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/449481]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Chen, Rui,Jia, Huizhu,Xie, Xiaodong,et al. A HVS-guided approach for real-time image interpolation. 2015-01-01.

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