A new nonlocal variational bi-regularized image restoration model via split Bregman method

被引：7
|
作者：
Jiang, Dong-Huan [1 ]
Tan, Xue [1 ]
Liang, Yong-Quan [2 ]
Fang, Sheng [2 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Peoples R China
[2] Shandong Univ Sci & Technol, Coll Informat & Sci Engn, Qingdao 266590, Peoples R China
来源：
EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING | 2015年
关键词：
Image restoration; Nonlocal; Split Bregman; Bi-regularized variational functional; TOTAL VARIATION MINIMIZATION; DECOMPOSITION;
D O I：
10.1186/s13640-015-0072-7
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we propose a new variational model for image restoration by incorporating a nonlocal TV regularizer and a nonlocal Laplacian regularizer on the image. The two regularizing terms make use of nonlocal comparisons between pairs of patches in the image. The new model can be seen as a nonlocal version of the CEP- L (2) model. Subsequently, an algorithm combining the alternating directional minimization and the split Bregman iteration is presented to solve the new model. Numerical results verified that the proposed method has better performance for image restoration than CEP- L (2) model, especially for low noised images.
引用
收藏
页码：1 / 10
页数：10
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