newtimedependentpretreatmodelsbasedontotalvariationalimagerestoration

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	newtimedependentpretreatmodelsbasedontotalvariationalimagerestoration
	Xu Jing 1; Chang Qianshun 2
	2011
发表期刊	actamathematicaeapplicataesinica
ISSN	0168-9673
卷号	027 期号:001 页码:129
摘要	In this paper, we propose new pretreat models for total variation （TV） minimization problems in image deblurring and denoising. Specially, blur operator is considered as useful information in restoration. New models in form is equivalent to pretreat the initial value by image blur operator. We successfully get a new （L. Rudin, S. Osher, and E. Fatemi） ROF model, a new level set motion model and a new anisotropic diffusion model respectively. Numerical experiments demonstrate that, under the same stopping rule, the proposed methods significantly accelerate the convergence of the toothed, save computation time and get the same restored effect.
语种	英语
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/38793
专题	中国科学院数学与系统科学研究院
作者单位	1.浙江工商大学 2.中国科学院数学与系统科学研究院
推荐引用方式 GB/T 7714	Xu Jing,Chang Qianshun. newtimedependentpretreatmodelsbasedontotalvariationalimagerestoration[J]. actamathematicaeapplicataesinica,2011,027(001):129.
APA	Xu Jing,&Chang Qianshun.(2011).newtimedependentpretreatmodelsbasedontotalvariationalimagerestoration.actamathematicaeapplicataesinica,027(001),129.
MLA	Xu Jing,et al."newtimedependentpretreatmodelsbasedontotalvariationalimagerestoration".actamathematicaeapplicataesinica 027.001(2011):129.