A Bayesian approach for the estimation and transmission of regularization parameters for reducing blocking artifacts. Mateos, J., Katsaggelos, A., & Molina, R. IEEE Transactions on Image Processing, 9(7):1200–1215, New York, NY: Institute of Electrical and Electronics Engineers, 1992-, jul, 2000. ![A Bayesian approach for the estimation and transmission of regularization parameters for reducing blocking artifacts [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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. In this paper, 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 parameters. We derive expressions for the iterative evaluation of these parameters applying the evidence analysis within the hierarchical Bayesian paradigm. The proposed method allows for the combination of parameters estimated at the coder and decoder. The performance of the proposed algorithms is demonstrated experimentally. © 2000 IEEE.
@article{mateos2000nonlinear,
abstract = {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. In this paper, 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 parameters. We derive expressions for the iterative evaluation of these parameters applying the evidence analysis within the hierarchical Bayesian paradigm. The proposed method allows for the combination of parameters estimated at the coder and decoder. The performance of the proposed algorithms is demonstrated experimentally. {\textcopyright} 2000 IEEE.},
author = {Mateos, Javier and Katsaggelos, A.K. and Molina, Rafael},
doi = {10.1109/83.847833},
issn = {10577149},
journal = {IEEE Transactions on Image Processing},
keywords = {Bayesian models,Evidence analysis,Image coding,Post-processing,Reconstruction},
month = {jul},
number = {7},
pages = {1200--1215},
publisher = {New York, NY: Institute of Electrical and Electronics Engineers, 1992-},
title = {{A Bayesian approach for the estimation and transmission of regularization parameters for reducing blocking artifacts}},
url = {http://ieeexplore.ieee.org/document/847833/},
volume = {9},
year = {2000}
}
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