IHS Transform-Based Image Fusion with MATLAB Implementation

IHS transform-based image fusion MATLAB programs represent a widely-used image processing technique that converts color images into three components: Intensity, Hue, and Saturation. The implementation involves separating these components using MATLAB's color space conversion functions, then performing targeted fusion operations on the intensity component while preserving the original hue and saturation characteristics. This approach effectively enhances image quality and improves visual perception. The hybrid IHS-wavelet frame transform MATLAB program extends this methodology by incorporating wavelet frame decomposition, where images are decomposed into multiple frequency subbands using wavelet transform functions like wavedec2(). The program then applies fusion rules to different frequency components separately, enabling more sophisticated fusion control through detailed coefficient processing. Both programs operate within the MATLAB environment and utilize key image processing toolbox functions such as rgb2ihs() for color space conversion, imfuse() for basic image fusion, and wavelet analysis functions for multi-resolution processing. These implementations provide researchers and practitioners in the image processing field with flexible, customizable tools for advanced image enhancement applications.