Redundant information can be integrate d effectively and visual effect is enhanced through the multi-sensor image fusion techniques.Due to the prominent target and lower back ground contrast for infrared images,while high resolution but insensitive to hot and concealed targets for vi sible images,an effective image fusion method,which can highlight the two images without reduc ing the image resolution,is presented in this paper.Firstly,targets are extracte d from the infrared image by Renyi entropy,and the visible image is enhanced adaptively through non-subsample Contourlet transform (NSCT). Then the enhanced visible image is fused with the target infrared image.Finally,two different sets of infrared and visible images are used for image fusion test by different meth ods.By contrst,the fused image has significantly improve brightness and higher c ontrast than other images,and has better visual effect.In order to objectively e valuate the proposed method,many evaluations,such as information entropy (IE),st andard deviation (STD),spatial frequency (SF),mutual information (MI) and runnin g time,are adopted to make comparision with other fusion methods.The results sho w that the IE,STD,SF and MI values of the proposed method. obtained are significantly higher than those of the other methods.The proposed method has longer running time than the Laplace,wavel et transform and Renyi entropy methods,but shorter running time than other metho ds.So the proposed method is an effective image fusion one.