Image Fusion Method Based on Universal Hidden Markov Tree Model in the Contourlet Domain

被引:0
|
作者
Cai Xi [1 ]
Han Guang [1 ]
Wang Jinkuan [1 ]
机构
[1] Northeastern Univ, Qinhuangdao 066004, Hebei, Peoples R China
关键词
Image fusion; contourlet transform; universal hidden Markov tree model;
D O I
10.4028/www.scientific.net/AMR.684.491
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
Considering the statistical characteristics of contourlet coefficients of images, we propose an image fusion method based on the universal contourlet hidden Markov tree (uHMT) model. A salience measure and a match measure are presented according to the probability of a contourlet coefficient belonging to the high state of the uHMT model which needs no training. Experimental results prove the effectiveness of our method in the field of visual quality and objective evaluations.
引用
收藏
页码:491 / 494
页数:4
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