%A ZHAO Wen-zhong %T Self-adaptive multisensor image fusion algorithm based on dual-tree complex wavelet-Contourlet transform %0 Journal Article %D 2010 %J Journal of Shandong University(Engineering Science) %R %P 144-148 %V 40 %N 4 %U {http://gxbwk.njournal.sdu.edu.cn/CN/abstract/article_931.shtml} %8 2010-08-16 %X

To overcome the poor directional selectivity of wavelet transform, a new self-adaptive multi-sensor image fusion algorithm was proposed based on the dual-tree complex wavelet-Contourlet transform.Using this algorithm,the panchromatic and multispectral images were first decomposed and transformed,and then different fusion rules were used according to different frequency characteristics: the self-adaptive regional energy coefficients added fusion rule were used for the lowfrequency and the regional feature self-adaptive fusion rule for the high-coefficients.The final fusion images was obtained by reconstruction.Compared with other fusion algorithms, the results showed that the self-adaptive image fusion algorithm based on the dual-tree complex wavelet-contourlet transform was feasible and effective.