Paper Title
Biomedical Image Fusion Using Wavelet Transform

Image fusion is a process of combine the complementary as well as the common features of a two images, to generate a resultant image with superior information content in terms of subjective as well as objective analysis point of view. Medical image fusion plays an important role medical diagnosis and treatment. In medical applications which can give more accurate information for radiologist to diagnose diseases. In this paper, a new image fusion rule for computed tomography and magnetic resonance images based on the wavelet analysis is proposed. After both the input images are decomposed by wavelet transform then four coefficients are found. By using the maximum frequency image fusion rule combined maximum absolute component. After that the resultant image is reconstructed by using inverse of wavelet transform. Keywords - CT, DWT, Entropy, Image Fusion, MRI.