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	Patch-based image deblocking using geodesic distance weighted low-rank approximation
	Li, Mading ; Liu, Jiaying ; Ren, Jie ; Guo, Zongming
	2015
英文摘要	Transform coding based on the discrete cosine transform (DCT) has been widely used in image coding standards. However, the coded images often suffer from severe visual distortions such as blocking artifacts. In this paper, we propose a novel image deblocking method to address the blocking artifacts reduction problem in a patch-based scheme. Image patches are clustered and reconstructed by the low-rank approximation, which is weighted by the geodesic distance. Experimental results show that the proposed method achieves higher PSNR than the state-of-the-art deblocking and denoising methods and the processed images present good visual quality. ? 2014 IEEE.; EI; 0
语种	英语
DOI标识	10.1109/VCIP.2014.7051514
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/321417]
专题	计算机科学技术研究所
推荐引用方式 GB/T 7714	Li, Mading,Liu, Jiaying,Ren, Jie,et al. Patch-based image deblocking using geodesic distance weighted low-rank approximation. 2015-01-01.

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