A New Image Denoising Method via Self-Organizing Feature Map Based on Hidden Markov Models

2009 ◽  
Author(s):  
Jianxin Dai
Keyword(s):  
Hidden Markov Models ◽  
Image Denoising ◽  
Markov Models ◽  
Hidden Markov ◽  
Denoising Method ◽  
Feature Map ◽  
Self Organizing

FRAME-BASED IMAGE DENOISING USING HIDDEN MARKOV MODEL

2008 ◽  
Vol 06 (03) ◽  
pp. 419-432 ◽  
Author(s):  
XIAOYUAN YANG ◽  
XUDONG ZHANG ◽  
ZHIPIN ZHU
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Hidden Markov Models ◽  
Image Denoising ◽  
Markov Models ◽  
Hidden Markov ◽  
Wavelet Domain ◽  
Wavelet Frame ◽  
Text Images ◽  
New Algorithms

Wavelet-domain hidden Markov models (HMMs), and in particular, hidden Markov tree (HMT), have been recently proposed and applied to image denoising. In this paper, we present the hidden Markov model and corresponding algorithm based on frame-domain. This model can effectively capture the correlation of wavelet frame coefficients, and we apply this model for image denoising. Furthermore, two new algorithms are developed for denoising. We demonstrate the performance of our new method on some text images with very encouraging results.

Sign in / Sign up

Export Citation Format

Share Document