A Novel Algorithm for Multifocus Image Fusion Based on Contourlet Hidden Markov Tree Model

摘要：

According to features of multifocus images and statistical characteristics of contourlet coefficients,a novel algorithm for multifocus image fusion based on contourlet Hidden Markov Tree model (con-HMT) is proposed.Multifocus images are used all together to train the contourlet HMT model.Then a new fusion rule for the high frequency is built.In this rule,the probability of a detailed coefficient corresponding to image edge,calculated directly from the HMT model,is chosen as the salience measure.Experimental results show that,for multifocus image fusion,the proposed algorithm provides more satisfying fusion results in terms of visual effect and objective evaluations,which proves its feasibility and validity.

作者: Cai Xi Zhao Wei

作者单位: School of Electronics and Information Engineering,Beihang University,Beijing,100191,China

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）