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	Adaptive Texture-Preserving Denoising Method Using Gradient Histogram and Nonlocal Self-Similarity Priors
	Fan L.; Li X.; Fan H.; Feng Y.; Zhang C.
刊名	IEEE Transactions on Circuits and Systems for Video Technology
	2018
关键词	Adaptation models alternating minimization augmented Lagrangian Fans gradient histogram matching prior Histograms hyper-Laplacian Image denoising image denoising Laplace equations Noise reduction nonlocal self-similarity TV
DOI	10.1109/TCSVT.2018.2878794
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4572625
专题	山东大学
作者单位	School of Computer Science and Technology, Shandong University, Jinan 250101, China and Shandong Co-Innovation Center of Future Intelligent C
推荐引用方式 GB/T 7714	Fan L.,Li X.,Fan H.,et al. Adaptive Texture-Preserving Denoising Method Using Gradient Histogram and Nonlocal Self-Similarity Priors[J]. IEEE Transactions on Circuits and Systems for Video Technology,2018.
APA	Fan L.,Li X.,Fan H.,Feng Y.,&Zhang C..(2018).Adaptive Texture-Preserving Denoising Method Using Gradient Histogram and Nonlocal Self-Similarity Priors.IEEE Transactions on Circuits and Systems for Video Technology.
MLA	Fan L.,et al."Adaptive Texture-Preserving Denoising Method Using Gradient Histogram and Nonlocal Self-Similarity Priors".IEEE Transactions on Circuits and Systems for Video Technology (2018).

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