A Bayesian approach for the estimation and transmission of regularization parameters for reducing blocking artifacts

@article{Mateos2000ABA,
  title={A Bayesian approach for the estimation and transmission of regularization parameters for reducing blocking artifacts},
  author={Javier Mateos and Aggelos K. Katsaggelos and Rafael Molina},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={2000},
  volume={9 7},
  pages={1200-15}
}
With block-based compression approaches for both still images and sequences of images annoying blocking artifacts are exhibited, primarily at high compression ratios. They are due to the independent processing (quantization) of the block transformed values of the intensity or the displaced frame difference. We propose the application of the hierarchical Bayesian paradigm to the reconstruction of block discrete cosine transform (BDCT) compressed images and the estimation of the required… CONTINUE READING
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