Image Fusion Using NSCT and PCNN Integration

I have developed an image fusion program that integrates NSCT and PCNN methodologies. The implementation focuses on code readability and straightforward logic, making it suitable for educational reference. It's important to note that this version utilizes the standard PCNN algorithm rather than enhanced variants. The core algorithm workflow includes: 1. NSCT decomposition for multi-scale directional image representation 2. PCNN neural network processing for feature-based fusion decisions 3. Inverse NSCT reconstruction for final fused image generation Key implementation aspects: - NSCT handles multi-resolution decomposition using directional filter banks - PCNN implements basic pulse-coupled neuron synchronization - Fusion rules apply to coefficient combination across different scales While this program serves as a practical tool for various image processing applications, users should anticipate potentially slow execution due to the computational intensity of both NSCT transformation and PCNN iterative processing. The code structure maintains modular design for easy customization and analysis.