JOURNAL ARTICLE

FRAME-BASED IMAGE DENOISING USING HIDDEN MARKOV MODEL

Xiaoyuan YangXudong ZhangZhipin Zhu

Year: 2008 Journal:   International Journal of Wavelets Multiresolution and Information Processing Vol: 06 (03)Pages: 419-432   Publisher: World Scientific

Abstract

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.

Keywords:
Hidden Markov model Noise reduction Pattern recognition (psychology) Artificial intelligence Computer science Frame (networking) Markov model Wavelet Video denoising Domain (mathematical analysis) Markov chain Image (mathematics) Image denoising Mathematics Machine learning Video tracking Object (grammar)

Metrics

5
Cited By
1.18
FWCI (Field Weighted Citation Impact)
19
Refs
0.83
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology
Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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