Shearlet-Based Image Fusion Source Code

This repository provides efficient source code for shearlet-based image fusion, featuring exceptional processing speed that makes it suitable for real-time applications. The implementation demonstrates a sophisticated approach to combining multiple images into a single composite image with enhanced information content and superior visual quality. The codebase includes comprehensive algorithmic components covering shearlet transform computation, coefficient fusion strategies, and inverse transform operations. Key functions implement multi-scale decomposition using shearlet filters, directional sensitivity analysis, and weighted fusion rules for optimal feature preservation. For students working on graduation projects, this serves as an excellent technical reference that illustrates practical implementation of advanced image processing techniques. The well-structured code allows researchers to study shearlet transform properties, fusion methodology, and performance optimization techniques. By examining this implementation, students can gain deep insights into mathematical foundations of shearlet systems and their application in multi-focus image fusion, medical image integration, and remote sensing data combination. The provided documentation includes comments explaining critical algorithm parameters, transform configurations, and fusion threshold settings. This resource aims to support academic projects by providing a robust foundation for implementing cutting-edge image fusion solutions, helping students successfully complete their graduation designs with professional-grade code examples.