MATLAB Implementation of Hidden Markov Tree Model for Contourlet-based Image Processing

This MATLAB-based hidden Markov tree model implementation computes Contourlet coefficients for images, incorporating application models for image denoising and texture restoration. The code includes comprehensive functionality for multiscale image decomposition and statistical modeling of transform coefficients.

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.