Image Processing Toolbox with Wavelet Transform Algorithm Source Code

In the domain of image processing, this codebase is primarily designed for image fusion applications. It integrates MATLAB's comprehensive image processing toolbox while providing complete source code implementations for wavelet transform algorithms. The algorithm implementations include detailed studies on multi-resolution wavelet decomposition techniques and adaptive wavelet algorithms that dynamically adjust to image characteristics. Key functions feature multi-level discrete wavelet transforms (DWT) using filter banks, with support for various wavelet families like Daubechies and Symlets. The codebase also demonstrates practical applications in pattern recognition through feature extraction from wavelet coefficients, and image analysis tasks such as edge detection and texture classification. These implementations significantly enhance processing efficiency and accuracy in handling image data, while providing modular code structures that facilitate customization for specific research requirements.