S.LoPresto, K.Ramchandran, M.Orhard: Image Coding Based on Mixture Modeling of Wavelet Coefficients and a Fast Estimation-Quantization Framework , Data Compression Conference 97, Snowbird, Utah, 1997, pp.221-230.  Home/Search   Document Not in Database   Summary   Related Articles

....second one is the stationary (homogeneous) Generalized Gaussian (GG) model. The choice of these two models is motivated by the fact that they have found wide application in image restoration and denoising ( 14] 15] and that the best wavelet compression algorithms are based on these models ([16], 17] Their main advantage is that they take local features of the image into account. In the first case, this is done by introducing the non stationary variance using a 6 quadratic energy function, and in the second case, by using an energy function, which preserves the image discontinuities ....

S.LoPresto, K.Ramchandran, M.Orhard: Image Coding Based on Mixture Modeling of Wavelet Coefficients and a Fast Estimation-Quantization Framework , Data Compression Conference 97, Snowbird, Utah, 1997, pp.221-230.

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