newtimedependentpretreatmodelsbasedontotalvariationalimagerestoration
文献类型：期刊论文
| 作者 | Xu Jing1; Chang Qianshun2 |
| 刊名 | actamathematicaeapplicataesinica
 |
| 出版日期 | 2011 |
| 卷号 | 027期号:001页码:129 |
| ISSN号 | 0168-9673 |
| 英文摘要 | 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 |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/38792]  |
| 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. |
入库方式： OAI收割
来源：数学与系统科学研究院
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