MATLAB Source Code for Image Fusion Based on Laplacian Pyramid Decomposition
MATLAB source code implementation for image fusion using Laplacian pyramid decomposition algorithm
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This program implements a medical image fusion algorithm based on multi-channel PCNN (m-PCNN), featuring multi-channel pulse-coupled neural network implementation for enhanced image quality and information integration.
Gradient Pyramid-Based Image Fusion Algorithm
This program implements a gradient pyramid-based image fusion algorithm, delivering impressive results. It serves as an excellent reference for understanding multi-resolution image fusion with practical MATLAB implementation.
Image Fusion Implementation Using Laplacian Pyramid
This source code implements image fusion based on Laplacian pyramid decomposition, featuring multi-scale image processing and detail preservation algorithms.
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Harris Corner Detection Implementation Using MATLAB
MATLAB-based Harris Corner Detection - Widely applied in image processing, panorama stitching, and image fusion with detailed algorithm implementation and feature extraction demonstrations.
MATLAB Implementation of Wavelet Transform for Image Fusion
This MATLAB code implements image fusion using wavelet transform, leveraging the wavelet analysis toolbox wavemenu and employing the wavedec2() function for 2D discrete wavelet decomposition to merge features from two input images.
Single Wavelet Transform for Image Compression
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Image Fusion Using Non-Subsampled Contourlet Transform
Image fusion implementation based on Non-Subsampled Contourlet Transform, designed to integrate with the NSCT toolkit for enhanced detail preservation
MATLAB Toolbox for Image Fusion
A comprehensive MATLAB toolbox for image fusion, featuring multiple algorithms and methods with user-friendly interface and detailed documentation.