MATLAB Source Code for Second Generation Curvelet-Based Multi-Focus Image Fusion

This MATLAB source code implements second-generation curvelet transform for multi-focus image fusion. The implementation utilizes MATLAB's image processing capabilities to combine multiple focused images into a single composite image with enhanced clarity and detail preservation. The algorithm workflow includes several key stages: image reading and preprocessing using imread() and im2double() functions, curvelet decomposition via the FDCT_wrapping function from CurveLab toolbox, fusion rule application for coefficient selection, and final image reconstruction. The code demonstrates advanced multi-resolution analysis through curvelet transform which effectively captures directional features and edges. Key computational steps involve frequency domain wrapping-based curvelet transform, region-based active level measurement for fusion decision making, and inverse curvelet transformation for image synthesis. By executing this code, users can generate fused images that showcase the superior performance of curvelet-based fusion in preserving both global structures and fine details. The implementation provides practical insights into multi-scale geometric analysis for image fusion applications.