NSCT and HSI-Based Image Fusion Algorithm

The NSCT (Non-Subsampled Contourlet Transform) and HSI (Hue, Saturation, Intensity) based image fusion algorithm employs non-subsampled Contourlet transformation combined with HSI color image fusion techniques. This algorithm first performs Contourlet decomposition on the input images to extract multi-scale and multi-directional feature information, typically implemented using directional filter banks and pyramidal filters in the transformation process. The HSI color space conversion is then applied to separate color components from intensity information, where fusion rules can be specifically designed for different frequency subbands. The algorithm merges the HSI color images with the transformed components using weighted averaging or maximum selection methods for coefficient fusion, achieving superior detail preservation and color reproduction. This NSCT-HSI fusion approach demonstrates significant potential for various applications in image processing fields, particularly in medical imaging, remote sensing, and multi-focus image fusion scenarios where both spatial details and color fidelity are critical.