Most of current algorithms of image fusion are based on wavelet transform and the visual characteristics of eyes of human being are not sufficiently taken into account

thus failing to get perfect fusion effect in some circumstances. In this paper

we propose a new wavelet image fusion algorithm based on human visual system. In our algorithm we fully considers the characteristics of human visual system and calculate the relative terms of neighbor region's texture and edge luminance of each pixel at each level to adaptively acquire the weighted fusing coefficients. By using the method of multi|level iterative fusion

improved fused images are thus generated. Experiments show that our algorithm can achieve quite better fusion effect and is advantageous for human eye to detect and recognize targets.