DocumentCode
2646053
Title
Improved Hidden Markov Tree Model and Its Application in Image Denoising
Author
Lu Wenzhe ; Zhang Zhe ; Niu Xixian
Author_Institution
Hebei Univ. of Sci. & Technol., Shijiazhuang
fYear
2008
fDate
15-17 Aug. 2008
Firstpage
389
Lastpage
392
Abstract
Wavelet coefficients of natural images have significant dependencies. HMT model only capture the interscale dependencies. In this paper we propose an improved HMT model, which simply model intrascale dependencies as multivariate Gaussian distribution. This model is also applied to image denoising. Experimental results show that it can provide better performance than HMT model.
Keywords
Gaussian distribution; hidden Markov models; image denoising; hidden Markov tree model; image denoising; multivariate Gaussian distribution; natural image; wavelet coefficient; Gaussian distribution; Hidden Markov models; Image denoising; Image processing; Noise reduction; Signal processing; Wavelet analysis; Wavelet coefficients; Wavelet domain; Wavelet transforms; EM algorithm; HMT model; image denoising;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Hiding and Multimedia Signal Processing, 2008. IIHMSP '08 International Conference on
Conference_Location
Harbin
Print_ISBN
978-0-7695-3278-3
Type
conf
DOI
10.1109/IIH-MSP.2008.196
Filename
4604082
Link To Document