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An Algorithm for the Enhancement of MRI and PET Brain Image Fusion

Priya Katiyar, Vandana Vikas Thakare

Abstract


Development of medical image fusion plays an important role for the diagnosis of various diseases for the expert in the medical application. Image fusion is the process of integrating the two or more images of the same scene having more information. For an image having more information in it is necessary to focus at all the point. To get an image focused at all the point different techniques are required. The study presents a method to focus an image at all the point based on the Multi-resolution singular value decomposition. Multi-resolution singular value decomposition provides a smooth image for the diagnosis of the medial experts. The outcome proves that the performance of proposed method work is better and much efficient to get a smooth image. The basis vector of the Multi-resolution Singular value Decomposition is not fixed so it is more suitable for the real time images.

Keywords: color distortion, image fusion, magnetic resonance images (MRI), peak signal- to- noise ratio (PSNR), positron emission tomography (PET)

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