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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:
AuthorsInstitution or Email of Authors
Iancu, ClaudiaUniversity Politehnica of Bucharest
Gavat, IngeUniversity Politehnica of Bucharest
Datcu, MihaiUNSPECIFIED
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 (old)
HGF - Program:Space (old)
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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