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

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.