Color Image Fusion Using NSCT for Infrared and Visible Light Image Integration

Color image fusion using NSCT (Nonsubsampled Contourlet Transform) is an advanced image processing technique for integrating infrared and visible light images. The NSCT algorithm employs multi-scale and multi-directional analysis methods to decompose source images into different frequency components. Through proper fusion rules applied to coefficients at different scales and directions, the system synthesizes a combined image that comprehensively represents target area information from both spectral domains. This fusion technique significantly enhances image quality by preserving thermal signatures from infrared data while maintaining texture details from visible light images, enabling more accurate analysis of the relationship between both modalities. The implementation typically involves key steps: NSCT decomposition using directional filter banks, fusion rule application (such as choosing maximum coefficients or weighted averaging), and inverse NSCT reconstruction. As a valuable technology, color image fusion with NSCT finds widespread applications in military surveillance, security systems, medical imaging, and remote sensing domains.