Image Fusion Using Laplacian Pyramid
Implementation of image fusion using Laplacian pyramid for infrared-visible image fusion and multi-focus image fusion with code-level algorithm explanations
Wavelet-Based Image Fusion
Wavelet-based image fusion involves merging complementary information from multi-sensor data to create a new composite image, primarily for applications like target surveillance and recognition. This paper proposes an image fusion method utilizing wavelet transform and analyzes the fusion results of visible-light and infrared images. The implementation demonstrates excellent fusion effects with clear distinction between targets and backgrounds, while maintaining smooth edge transitions. The method shows promising application prospects through its algorithmic efficiency and robustness.
Curvelet Toolbox Based Infrared and Visible Light Image Fusion Development
An infrared and visible light image fusion code implementation utilizing the Curvelet Toolbox, featuring multi-scale geometric transformation for enhanced image fusion.
Color Image Fusion Using NSCT for Infrared and Visible Light Image Integration
Color Image Fusion with NSCT Implementation for Infrared and Visible Light Image Integration - A Multi-scale Transform Approach