“…To evaluate performance, 256 × 256 MRI, PET, and SPECT images are picked for the fused MRI/PET and MRI/SPECT images. The obtained results demonstrate that the proposed approach is not only better in terms of contour and edge detection, visual feature recognition, and computing performance, but also in terms of quantitative parameters when compared to other state-of-the-art offered systems, such as Fuzzy Transform with uniform sinusoidal membership fusion [ 84 ], PCNN model [ 85 , 86 ] for the fusion of LFS and HFS, local Laplacian filtering (LLF) [ 87 ] for image decomposition, contourlet transform (COT) [ 88 ], nonsubsampled contourlet transform (NSCT) [ 88 ], moving frame based decomposition framework (MFDF) [ 89 ], and sparse representation (SR) based approach [ 90 ].…”