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
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;
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
DOI :
10.1109/IIH-MSP.2008.196
