Explore MATLAB source code curated for "融合" with clean implementations, documentation, and examples.
Implementation of image enhancement and fusion using wavelet decomposition and reconstruction techniques, featuring flexible wavelet selection and beginner-friendly code structure with detailed algorithm explanations.
Implementation of infrared and visible image fusion based on wavelet analysis theory with algorithm explanation and implementation approach
Implementation of high-resolution and low-resolution image fusion through RGB-IHS transformation with code-level algorithm explanations
Contourlet Transform Toolbox - A powerful tool recently gaining significant traction in image denoising and fusion applications
MATLAB wavelet transform source code enables comprehensive image analysis and fusion operations
An image matching program implemented using the SIFT algorithm, developed in MATLAB, primarily used for image stitching, fusion, and related applications with detailed code implementation insights.
A color segmentation algorithm that performs segmentation based on individual color bands followed by fusion of segmentation results, implemented using MATLAB's image processing toolbox functions
Perform multi-level wavelet decomposition on images b1 and b2 using the wavedec2() function with 'db1' wavelet at level 3, followed by image fusion implementation.
Application Background: This MATLAB code performs fusion of two source images captured with different focal regions to generate a composite image with uniform focus distribution. Technical Approach: The implementation leverages Contourlet transform-based multi-scale decomposition to enhance fusion quality by preserving directional texture details and edge information through pyramidal directional filter banks.
Fusion of SLM and PTS (Low Complexity), directly executable with implementation guidance