Image Disorder Characterization Based on Rate Distortion

Iancu, Claudia and Gavat, Inge and Datcu, Mihai (2006) Image Disorder Characterization Based on Rate Distortion. In: Current Topics in Artificial Intelligence Lecture Notes in Computer Science, 4177. Springer-Verlag. pp. 261-268. ISBN 978-3-540-45914-9. ISSN 0302-9743 (Print) 1611-3349 (Online)

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Official URL: http://www.springerlink.com/content/1838q85846g49176/

Abstract

Rate distortion theory is one of the areas of information transmission theory with important applications in multimodal signal processing, as for example image processing, information bottleneck and steganalysis.

Document Type:

Contribution to a Collection

Additional Information:

doi: 10.1007/11881216_28

Title:

Image Disorder Characterization Based on Rate Distortion

Authors:

Authors	Institution or Email of Authors
Iancu, Claudia	University Politehnica of Bucharest
Gavat, Inge	University Politehnica of Bucharest
Datcu, Mihai

Date:

13 October 2006

Journal or Publication Title:

Current Topics in Artificial Intelligence

Volume:

4177

Page Range:

pp. 261-268

Publisher:

Springer-Verlag

Series Name:

Lecture Notes in Computer Science

ISSN:

0302-9743 (Print) 1611-3349 (Online)

ISBN:

978-3-540-45914-9

Status:

Published

Keywords:

image processing, classification, clustering, rate distortion theory, vector quantization

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

W EO - Erdbeobachtung

DLR - Research area:

Space

DLR - Program:

W EO - Erdbeobachtung

DLR - Research theme (Project):

W - Vorhaben Bildwissenschaften (old)

Location:

Oberpfaffenhofen

Institutes and Institutions:

Remote Sensing Technology Institute > Image Science

Deposited By:

Gottfried Schwarz

Deposited On:

17 Jun 2008

Last Modified:

27 Apr 2009 15:00

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