The statistics of imagewavelet coefficients is non2Gaussian and can be described by generalized Gaussian distribution (GGD). The paper investigates the issues of GGD statisticalmodel for wavelet coefficients in a sub2 band and the corresponding parameters estimation . A Bayesian estimate based subband adaptive thresholding de2 noising algorithm is designed, and the performance of noise reduction of this algorithm, compared with other clas2 sicalwavelet thresholding denoising methods, is discussed according to simulation results . Keywords　image wavelet coefficients generalized Gaussian distribution BayesShrink algorithm image de

广义高斯分布及其在图像去噪中的应用\equation.m
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广义高斯分布及其在图像去噪中的应用

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