Multi modal hybrid image fusion using discrete wavelet and contourlet transform

Abstract

Image fusion is used to enhance the quality of images by combining two images of same scene obtained from single or multiple modalities. In medical diagnosis different types of imaging modalities such as X-ray, Computed tomography (CT), Magnetic resonance imaging (MRI), Magnetic resonance angiography (MRA), PET scan etc., provide limited information where some information is common and some unique. This paper presents a hybrid combination of Discrete Wavelet and Contourlet. For the obtained fused images, it is proposed to compute performance metrics like Entropy, Peak signal to noise ratio and Mean square error and compare them with existing methods as to come out with best combination of transformations that yield highly informative fused image. Proposed method will be simulated using MATLAB tool.