Multi-Scale Bilateral Filter Based Medical Image Fusion Using CNN

Biomedical image fusion technique has widely utilized in medical diagnosis. In this work, a successful biomedical image fusion technique by Multi-scale Bilateral Filter Using CNN is developed to attain a combined image with preserved edge details and all other traits of the input images. Since borders are the vital part in medical image understanding, proposed work has been implemented with multiscale Bilateral Filter decomposition combined with CNN in NSCT domain. In this technique, initially multiscale Bilateral decomposition filter is used in two dissimilar modals of the clinical case input images. low frequency layer is reconstructed using NSCT - CNN fusion scheme and High frequency layer is reconstructed by CNN fusion scheme. Finally combining LFL and HFL, the fused image is obtained. The experimental outcomes prove that this technique attains high-tech presentation in together subjective and objective analysis.