Estimating and transmitting regularization parameters for reducing blocking artifacts

High compression ratios for both still images and sequences of images are usually achieved by quantizing the block discrete cosine transform (BDCT) coefficients of the intensity or displaced frame different values. This block based processing and quantization yields images that exhibit annoying blocking artifacts. In this paper, we propose a method based on the hierarchical Bayesian approach for the reconstruction of BDCT compressed images and the estimation of the related parameters both at the coder and decoder. We examine how to combine the parameters estimated at the coder and decoder and test the method on real images.