To improve detection performance for weak and small targets signal in complex infrared background, such as the ground and the cloud, a dim and small target background suppression method is presented based on vision cell response model was presented. Firstly, according to simple cell receptive field model, original infrared image is decomposed to two images with different Gabor functions using convolution. And then, the function of nonlinear convergence of complex cell response is used to fusion two images obtained for separation small target with background clutter in infrared image. Finally, target image is obtained by using classical adaptive thresholding method. Several groups of experimental results demonstrate that the proposed method can segment the infrared target image effectively, compared with several classical infrared dim and small target background suppression methods, such as local means remove and max median filter methods.