Medical Image Fusion using Combined Multi-Resolution and Multi-Scaling Transform

Abstract

Image Fusion is a process of combining the relevant information from a set of images into a single image, where the resultant fused image will be more informative and complete than any of the input images.Image fusion techniques can improve the quality.This paper uses MRI and CT images for fusion which contains complementary information helpful for diagnosis of disease.Proposed approach, medical image fusion based on the combined effect of Discrete Wavelet Transform (DWT) and Discrete Ripplet Transform (DRT).The images are initially transformed into multi-resolution image using DWT.The approximation image are further transformed using DRT.Then get ripplet coefficients and these are applied with Image Blocking method.The proposed method can be helpful for better medical diagnosis.