Abstract
In this paper, an adaptive entropy coding method based on the Gaussian mixture distribution model, proposed as a performance improving method for the DCT coding for images, is adopted to the discrete wavelet transform(DWT)coding. To modify the mixture model adequate for the DWT coefficients, construction of the coefficient vector is studied. Unstationary mixture model is employed to adapt the model to fine spatial regularization of high-frequency coefficients and, then, the regularization method is introduced to suppress the irregular modeling caused by the unstationary modeling. Simulation result shows that proposed method improves coding performance compared with conventional SPIHT method.
