Different fusion algorithms interpret fusion images from different aspects, which generate fusion images of different brightnesses and different contrasts. Image fusion algorithms performance analysis can reduce the uncertainty of image information and improve the image resolution. Based on the generalization of these existing fusion algorithms, these fusion images obtained by different fusion algorithms are collated by means of subjective assessment score. The experimental result indicates the pyramidal fusion algorithms and wavelet transform algorithms can improve the important characteristics and image detail, which have better adaptability than those of weighted fusion algorithms in different scene. Though weighted fusion algorithms can get higher score in special scene, it has limitation of scene adaptability. Therefore, the practical image fusion system should choose different fusion algorithms to adjust different task requirements and applied circumstances in order to acquire the optimum scene interpreting effect.