Performance improvement of contrast based image fusion in wavelet domain

With the development of medical imaging equipment, the image diagnosis has made tremendous contributions to the raise of medical standard. A single mode of image cannot provide comprehensive and accurate information, so medical image fusion has become the focus of image research and processing. Medical Image fusion is a technique in which more than one images are fused to create new image where all the objects are focus, so that the fuse image is more suitable for human and machine perception. For medical diagnosis purpose the edge & outlines of the interested object is more important than other information. In terms of this we proposed a new medical image fusion scheme based on improved wavelet coefficient contrast. It has been observed that simulation results of our proposed algorithm is consistent and preserve more information compare to present medical fusion. Contrast based image fusion is implemented in hospital for easy diagnosis of infarct and hemorrhage.