Fusion of images is the process of combining two or more images into a single image that retains important characteristics of each of the images. This paper presents a scheme for the fusion of multiple resolution 2D gray level images based on the wavelet transform. If the images are not registered, a point-based record will be made, using a related transformation before the merger. The images to be fused are first decomposed into sub-pictures with different frequency and then the information fusion is performed using these images under the criterion of proposed gradient and relative softness. Finally, these sub-images are reconstructed in the result image with abundant information. A quantitative measure of the degree of fusion is estimated by cross-correlation coefficient and a comparison is made with some of the existing wavelet transform-based image fusion techniques.