To the multi-sensor image fusion problem, a technique for image fusion based on non-subsampled contourlet
transform(NSCT) domain receptive field model is presented. Firstly, by using NSCT, multi-scale and multi-direction sparse
decomposition of source images are performed. Then, an improved receptive field model is utilized to achieve the fusion of
the low frequency sub-images. In addition, the course of the high frequency sub-images fusion can be completed by using the
model of adaptive unit-fast-linking pulse coupled neural network. Finally, the final fused image can be gained by adopting
inverse NSCT to all sub-images. The simulation experimental results show the effectiveness of the proposed technique.

image fusion;non-subsampled contourlet transform;receptive field;pulse coupled neural network