Image Enhancement using Contourlet and Wavelet Transforms

This resource package contains multiple algorithms and .m files for image enhancement and denoising using Contourlet and Wavelet transforms. These algorithms serve as powerful tools for improving image quality and eliminating noise through sophisticated mathematical transformations. You can select appropriate algorithms based on your specific requirements and apply them to your image processing tasks. The implementation includes key functions for: - Multi-scale decomposition using wavelet filters - Directional representation through contourlet transform - Threshold-based denoising algorithms - Coefficient manipulation for enhancement purposes All algorithms and files are meticulously designed and programmed to ensure optimal performance and effectiveness. The code structure follows MATLAB best practices, with clear function documentation and parameter optimization. You can confidently utilize these algorithms to achieve satisfactory results in image enhancement and noise removal applications.