A new Image Zooming via the Split Bregman Method

被引：0
|
作者：
Jiang, Donghuan [1 ]
Liang, Yongquan [1 ]
Xu, Guangbao [1 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Informat & Sci Engn, Qingdao, Peoples R China
来源：
2013 6TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), VOLS 1-3 | 2013年
关键词：
image zooming; split bregman; besov norm; total variation; variational function;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
To improve image resolution, a new model for image zooming with the split bregman method is presented in this paper. The zoomed image is found by minimizing the variational functional which use the Besov norm and TV norm to measure the regularity of the image. Subsequently, the split bregman algorithm for image zooming model is given and images are reconstructed with high quality. The new model with the split bregman algorithm has the advantage of high velocity. Experimental results have verified the validity of our new model.
引用
收藏
页码：320 / 325
页数：6
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