Contourlet Transform Toolkit

This complete Contourlet Transform toolkit includes comprehensive files for directional filter bank decomposition and reconstruction, applicable in fields such as image compression, image fusion, and remote sensing image reconstruction. The toolkit offers rich functionality and customizable options to meet specific processing requirements. Through its implementation of pyramidal directional filter banks, users can perform efficient image processing and analysis, obtaining high-frequency images at various decomposition levels. Whether for image compression or remote sensing image reconstruction, this toolkit provides reliable solutions. Additionally, it supports other applications like image fusion through flexible parameter configuration.

The code runs directly without additional configuration. By following the provided examples and documentation, users can simply call corresponding functions like contourlet_dec() for decomposition and contourlet_rec() for reconstruction. The modular design ensures both beginners and experienced developers can quickly achieve desired results through straightforward API calls and configurable decomposition parameters.

In summary, this complete Contourlet Transform toolkit serves as a powerful and comprehensive solution for various image processing and analysis domains. Its robust algorithm implementation and user-friendly interface make it suitable for both academic research and practical applications. Try it now to experience its capabilities and performance firsthand.