Performing DCT and DFT Transformations on an Image

Applying Discrete Cosine Transform (DCT) and Discrete Fourier Transform (DFT) to an image with analysis of high and low frequency component coefficients, including implementation approaches and key mathematical operations

Wavelet Transform for Each Image Channel

Perform wavelet transformation on each image channel to obtain horizontal, vertical, and 45-degree diagonal high-frequency components along with low-frequency components, constructing wavelet pyramids for individual channels. Fuse corresponding feature maps from different pyramid levels of both images using a maximum-value selection principle. Finally, reconstruct the fused image through inverse wavelet transformation based on the combined wavelet coefficients.