Estimating and transmitting regularization parameters for reducing blocking artifacts

Javier Matcos*, Rafael Molina, Aggelos K. Katsaggelos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationInternational Conference on Digital Signal Processing, DSP
Editors Anon
PublisherIEEE
Pages209-212
Number of pages4
Volume1
StatePublished - Dec 1 1997
EventProceedings of the 1997 13th International Conference on Digital Signal Processing, DSP. Part 2 (of 2) - Santorini, Greece
Duration: Jul 2 1997Jul 4 1997

Other

OtherProceedings of the 1997 13th International Conference on Digital Signal Processing, DSP. Part 2 (of 2)
CitySantorini, Greece
Period7/2/977/4/97

ASJC Scopus subject areas

  • Signal Processing

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