Comprehensive Image Fusion Program Collection

In this thesis project, I designed a comprehensive image fusion program implementing multiple algorithms such as IHS (Intensity-Hue-Saturation), PCA (Principal Component Analysis), Laplacian Pyramid decomposition, PCNN (Pulse-Coupled Neural Networks), and Wavelet Transform techniques. The implementation includes proper parameter initialization, algorithm-specific optimization routines, and robust error handling mechanisms. I conducted extensive testing with various image datasets and performed thorough debugging to ensure optimal performance and reliability. Each algorithm features modular code structure with clear input/output interfaces, making it easy to compare different fusion methodologies. This image fusion program constitutes a significant component of my graduation thesis, representing the culmination of careful research and systematic design efforts. The codebase includes comprehensive documentation and sample test images to demonstrate each algorithm's performance characteristics.