Estimating and transmitting regularization parameters for reducing blocking artifacts

Javier Matcos; Rafael Molina; Aggelos K. Katsaggelos

Estimating and transmitting regularization parameters for reducing blocking artifacts

Javier Matcos^*, Rafael Molina, Aggelos K. Katsaggelos

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	International Conference on Digital Signal Processing, DSP
Editors	Anon
Publisher	IEEE
Pages	209-212
Number of pages	4
Volume	1
State	Published - Dec 1 1997
Event	Proceedings of the 1997 13th International Conference on Digital Signal Processing, DSP. Part 2 (of 2) - Santorini, Greece Duration: Jul 2 1997 → Jul 4 1997

Other

Other	Proceedings of the 1997 13th International Conference on Digital Signal Processing, DSP. Part 2 (of 2)
City	Santorini, Greece
Period	7/2/97 → 7/4/97

ASJC Scopus subject areas

Signal Processing

Cite this

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title = "Estimating and transmitting regularization parameters for reducing blocking artifacts",

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.",

author = "Javier Matcos and Rafael Molina and Katsaggelos, {Aggelos K.}",

year = "1997",

month = dec,

day = "1",

language = "English (US)",

volume = "1",

pages = "209--212",

editor = "Anon",

booktitle = "International Conference on Digital Signal Processing, DSP",

publisher = "IEEE",

note = "Proceedings of the 1997 13th International Conference on Digital Signal Processing, DSP. Part 2 (of 2) ; Conference date: 02-07-1997 Through 04-07-1997",

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TY - GEN

T1 - Estimating and transmitting regularization parameters for reducing blocking artifacts

AU - Matcos, Javier

AU - Molina, Rafael

AU - Katsaggelos, Aggelos K.

PY - 1997/12/1

Y1 - 1997/12/1

N2 - 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.

AB - 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.

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UR - http://www.scopus.com/inward/citedby.url?scp=0031344768&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0031344768

VL - 1

SP - 209

EP - 212

BT - International Conference on Digital Signal Processing, DSP

A2 - Anon, null

PB - IEEE

T2 - Proceedings of the 1997 13th International Conference on Digital Signal Processing, DSP. Part 2 (of 2)

Y2 - 2 July 1997 through 4 July 1997

ER -

Estimating and transmitting regularization parameters for reducing blocking artifacts

Abstract

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ASJC Scopus subject areas

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Cite this