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Proceedings Paper

Parameter estimation in regularized reconstruction of BDCT compressed images for reducing blocking artifacts
Author(s): Javier Mateos; Aggelos K. Katsaggelos; Rafael Molina
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Paper Abstract

High compression ratios for both still images and sequences of images are usually achieved by discarding information represented by block discrete cosine transform (BDCT) coefficients which is considered unimportant. This compression procedure yields images that exhibit annoying block artifacts. In this paper we examine the reconstruction of BDCT compressed images which results in the removal of the blocking artifact. The method we propose for the reconstruction of such images, is based on a hierarchical Bayesian approach. With such an approach image and degradation models are required. In addition, unknown hyperparameters, usually the noise and image variances, have to be estimated in advanced or simultaneously with the reconstructed image. We show how to introduce knowledge about these parameters into the reconstruction procedure. The proposed algorithm is tested experimentally.

Paper Details

Date Published: 16 September 1996
PDF: 12 pages
Proc. SPIE 2952, Digital Compression Technologies and Systems for Video Communications, (16 September 1996); doi: 10.1117/12.251331
Show Author Affiliations
Javier Mateos, Univ. de Granada (Spain)
Aggelos K. Katsaggelos, Northwestern Univ. (United States)
Rafael Molina, Univ. de Granada (Spain)

Published in SPIE Proceedings Vol. 2952:
Digital Compression Technologies and Systems for Video Communications
Naohisa Ohta, Editor(s)

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