Processing with Contrast-Based Pixel Selection on Wavelet Decomposition Foundation

This method involves partitioning the image into blocks and performing wavelet decomposition to obtain low-frequency and high-frequency components. It calculates the contrast for each block to classify them into clear blocks and blurred blocks, with adjacent areas between clear and blurred blocks defined as boundary regions. During fusion, clear blocks are directly selected as the corresponding fused blocks. For boundary regions, a contrast-based pixel selection method is applied on the wavelet decomposition basis, implementing weighted fusion algorithms to optimize edge transitions and enhance image clarity.