Medical image fusion has been used to derive useful information from multimodal medical image data. Multimodal image fusion is to integrate images from different modalities (like MRI with PET, CT with PET, and MRI with CT) to enhance the contrast of an image, and amount of data in an image. In this present work, two-level discrete wavelet-based image fusion has been chosen. The two-level discrete wavelet-based image fusion is compared both subjectively and objectively by using suitable quality metrics with the other image fusion techniques. On the basis of experimental results, it shows that the two-level discrete wavelet-based image fusion shows better quality of an image as compared to other techniques of image fusion.

multimodal image fusion, wavelet-based image fusion, pixel-based image fusion

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