ADAPTIVE REGULARIZATION FOR MULTIPLE IMAGE RESTORATION USING AN EXTENDED TOTAL VARIATIONS APPROACH

被引：0
作者：
Kitchener, Matthew Andrew [1 ]
Bouzerdoum, Abdesselam [1 ]
Phung, Son Lam [1 ]
机构：
[1] Univ Wollongong, Sch Elect Comp & Telecommun Engn, Wollongong, NSW 2522, Australia
来源：
2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2011年
关键词：
Image Restoration; Multiple Image; Bayesian; Total Variations;
D O I：
暂无
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 a Variational Inequality method for multiple input, multiple output image restoration is presented using an extended Total Variations (TV) regularizer. This approach calculates an adaptive regularization parameter for each image based on the irrespective degradations. The proposed extended Total Variations regularizer combines both intra-image and inter-image pixel information for improved restoration performance. Hyperparameters for controlling this new TV measure are calculated using a Bayesian joint maximum a posteriori approach.
引用
收藏
页码：697 / 700
页数：4
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