Contourlet Transform with MATLAB Implementation
Minh N. Do's Contourlet transform implementation featuring theoretical foundation and MATLAB source code, serving as valuable reference for multiscale image processing researchers and practitioners
Image Fusion Using Contourlet Transform with Algorithm 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.
Hidden Markov Tree Model Program for Contourlet Transform
MATLAB implementation of a Hidden Markov Tree (HMT) model for Contourlet Transform, featuring algorithms for image Contourlet coefficient computation, image denoising, and texture restoration applications. Based on the research paper "Directional Multiscale Modeling of Images Using the Contourlet Transform" by D. D.-Y. Po and M. N. Do.
Threshold Denoising Using Non-Subsampled Contourlet Transform
Non-subsampled contourlet transform threshold denoising implementation with MATLAB 7.0 toolbox, featuring directional multi-resolution analysis and coefficient thresholding techniques
Contourlet Transform Toolkit
A comprehensive contourlet toolkit with full functionality, including demonstration scripts and implementation examples