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- 掛恅璃標腔最唗岆價衾LeventCodes 怢釬腔﹝ 婦嬤眕狟源楊ㄩ BivaShrink源楊﹜耀倰1﹜耀倰2﹜耀倰3ㄗTrivaShrink源楊ㄘ﹜BayesShrink源楊﹜ LAWMLShrink源楊腔DWT妗珋睿DT_CWT妗珋﹝ -Standard text linked cavity glass唗Did the price of quilt filler cavity LeventCodes ﹝怢Here' s the
bayesshrink
- bayes shrink denoising
denoise2
- 本程序是基于LeventCode平台作的。 ---包括以下方法： BivaShrink方法、模型1、模型2、模型3（TrivaShrink方法）、BayesShrink方法、LAWMLShrink方法的DWT实现和DT_CWT实现。-This procedure is based on the LeventCode platform for the. --- Including the following methods: BivaShrink method, model 1,
VistaRestoreTools1.0
- denoise In BayesShrink[5] we determine the threshold for each subband assuming a Generalized Gaussian Distribution(GGD) . The GGD is given by GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6) ¡ 1 <
GGDimagedenoising
- 我按这篇文章做的，广义高斯分布及其在图像去噪中的应用，没有完全做出来，谁做出来了，分享一下- 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 coeffi