A Proposed Method of Medical Image Fusion using Non-Subsampled Counterlet Transform and Wavelet Transform

Fusion of image is describe combination of two or more source images from different modals or instruments into a more information single images. Fusion of medical image is important role in medical treatment and diagnosis. There are many transform based image fusion methods are NSCT, DWT, Curvelet and Counterlet Transform are define accurate image and high frequency. Improve the science information technology, image fusion are used to process multiple images from different sensors [2]. Image fusion is a process by combining two or more source images from different modals or instruments into a more information single images. This paper defines the combination of Non Sub-sampled Counterlet Transform (NSCT) and Discrete Wavelet Transform (DWT) both are to be sufficient and effective for image fusion. Medical Image Fusion is to derive the information from multimodal medical image data. For medical diagnosis, Computed Tomography (CT) provides the accurate information on denser issue with less distortion. Magnetic Resonance Image (MRI) provides good information on soft tissue with more distortion [3]. Two methods, NSCT and DWT are covers the decomposition of fusion algorithms fusion of medical image of CT and MRI, implementation of fusion rules and fusion image quality form. The image fusion is performance based on the root mean square error (RMSE), Entropy and peak signal to noise ratio (PSNR).