MATLAB Code Implementation for Image Matching Using SSDA Algorithm
Implementation of image matching with SSDA algorithm and custom screenshot selection for matching positions
Explore MATLAB source code curated for "匹配位置" with clean implementations, documentation, and examples.
Implementation of image matching with SSDA algorithm and custom screenshot selection for matching positions
Color image fractal compression determines the matching position between R-blocks and D-blocks in one of the R, G, or B channels. The other two channels perform matching at the same D-block location while only adjusting their respective brightness and offset parameters. This approach reduces computational time compared to the Separate Fractal Compression (SFC) method by sharing spatial domain block matching results across color channels.