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Image Denoising Using Bivariate Gaussian Model In Wavelet Domain  

Eom, Il-Kyu (School of Electrical Eng., Pusan National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.45, no.6, 2008 , pp. 57-63 More about this Journal
Abstract
In this paper, we present an efficient noise reduction method using bivariate Gaussian density function in the wavelet domain. In our method, the probability model for the interstate dependency in the wavelet domain is modeled by bivariate Gaussian function, and then, the noise reduction is performed by Bayesian estimation. The statistical parameter for Bayesian estimation can be approximately obtained by the $H{\ddot{o}}lder$ inequality. The simulation results show that our method outperforms the previous methods using bivariate probability models.
Keywords
noise reduction; wavelet; interscale dependency; bivariate Gaussian model; $H{\ddot{o}}lder$ inequality;
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