Contourlet Transform and Fractal Compression Methods

For remote sensing image processing, we have developed a method based on Contourlet transform and fractal compression techniques. This approach not only effectively processes remote sensing images but also demonstrates significant practical value. The method implementation utilizes Contourlet transform for capturing directional geometric structures through pyramidal directional filter banks, while fractal compression employs partitioned iterated function systems (PIFS) for encoding image self-similarities. Our software package includes experimental images for validation and testing purposes. Through this methodology, we can achieve deeper understanding of remote sensing image characteristics and structural patterns, providing a foundation for further research and applications. The implementation features key functions for directional multiscale decomposition and domain-range block matching algorithms. We hope this research proves beneficial for researchers and engineers in related fields.