Multi Resolution Image Fusion Using Haar Wavelet

The fusion of images is the process of combining two or more images into a single image, retaining important features from each of the images. A method for fusing two dimensional multi-resolution images using Haar wavelet transform under the combined gradient and smoothness criterion is developed. The usefulness of the method has been proved in various image pair's like database multi-focus images and real time CT and MR images of human brain cross section. The existing methods are maximum selection scheme and weighted average scheme. In the proposed scheme fusion is performed using the images under the proposed gradient and relative smoothness criterion. A quantitative measure of the degree of fusion is estimated by cross-correlation measure. Comparison with some of the existing image fusion techniques is carried out. The efficiency of the proposed method found as best which lies within the range of 95.09% to 99.42%.