Explore MATLAB source code curated for "图像融合" with clean implementations, documentation, and examples.
Exercise1: Implementation of wavelet transform and local energy-based image fusion algorithm. Exercise2: Adaptive algorithm-based image fusion approach. MyFunction1~MyFunction5: Performance evaluation metrics for assessing fusion quality including image quality assessment, information entropy, and structural similarity analysis.
A comprehensive shearlet transform package with practical examples for image denoising, image fusion, and other advanced image processing applications. The implementation includes optimized algorithms for multi-scale geometric analysis.
Implementation of image fusion program utilizing Laplacian pyramid algorithm, requiring MATLAB version newer than MATLAB 2009 for optimal performance.
While image fusion applications continue to expand across various fields, current research remains insufficiently systematic, lacking a complete theoretical framework. This repository provides comprehensive MATLAB implementations of multiple image fusion algorithms, offering practical reference solutions including wavelet transform-based fusion, pyramid decomposition methods, and principal component analysis techniques. The code demonstrates key functions for image registration, feature extraction, and fusion rule optimization.
Program implementation of wavelet-based image fusion utilizing 5-level wavelet decomposition with multi-scale frequency processing
MATLAB program for image fusion using low-frequency fusion algorithm and wavelet transform, including fundamental wavelet image decomposition and reconstruction procedures with detailed code implementation
This MATLAB implementation demonstrates spatial transformation techniques for image fusion applications, featuring coordinate mapping and pixel interpolation methods.
This code primarily focuses on image fusion applications, incorporating MATLAB's image processing toolbox and wavelet transform algorithm source code (including multi-resolution wavelet algorithms and research on adaptive wavelet algorithms). The implementation provides practical frameworks for digital image processing with enhanced frequency domain analysis capabilities.
MATLAB compiled wavelet transform implementation for image fusion and processing, converting folder images into usable fused images with detailed algorithm explanations
This is a wavelet transform-based image fusion program that integrates multiple images using wavelet decomposition and reconstruction algorithms, accompanied by fused image outputs.