Multi-sensor, Multi-modal Medical Image Fusion for Color Images: A Multi-resolution Approach

Multi-modal medical image fusion techniques and equipment plays remarkable attainments in increasing the medical accurateness of judgments related to images in medical. The important goal of the paper is to produce a unique image(fused), aimed at an effective medical examination with enhanced vital information. This paper presented an algorithm using Multi-Resolution Discrete Wavelet Transform(MDWT) to fuse RGB medical images like Computed Tomography(CT), Magnetic Resonance T1 (MRT1), Magnetic Resonance Angiogram(MRA), Positron Emission Tomography(PET) and Single Photon Emission Computed Tomography(SPECT) and was found to be efficient for color and grayscale images. MDWT is compared with existing Principal Component Analysis(PCA) and Discrete Sine Transform(DST) using four sets of medical images collected from Defence journal. The MDWT methodology fused images give better performance than other two algorithms. The performance evaluation of the final fused image is based on the subjective and objective analysis. The result is validated by research scholars from Amrita School of Engineering for subjective evaluation.