image fusion is a process of producing a single fused image from a set of input images. The fused image has enhanced information more than any of the input images In this paper a wavelet based image fusion experiments are carried out, and the impacts of changing various wavelet parameters on the quality of the fused image are investigated. The fusion of wavelet coefficients is done according to three algorithms. Fusion experiments are performed on QuickBird panchromatic (PAN) and multispectral (MS) images. In order to evaluate the quality of the fused images four quantitive measures of correlation coefficients, root mean square error, information entropy, and standard deviation are used. Fusion methods like IHS transform and brovey transform method are investigated, and their results are compared with that of our experiments based on the using of wavelet transform.