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Modelling Image Redundancy

Espen Volden 1 Gérard Giraudon Marc Berthod
1 PASTIS - Scene Analysis and Symbolic Image Processing
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : C.E. Shannon in his Information Theory defined a rate of information transmission of a transmitter-receiver couple. We use this concept to define three models of image redundancy. First we apply information theory to a simple model considering an image as a set of isolated pixels. Then we introduce a Markov Random Field model to take into account the neighbourhood of a pixel. We show that we have to determine some parameters of the MRF in order to obtain sufficient statistics from common satellite images, and we propose a measure based on a generalized Ising model. Our third model considers the correspondence between grey level vectors of cliques. We introduce a distance in the grey level space to solve the problem of insufficient statistics. Finally, results for the proposed definitions are presented for some synthetic and a large variety of SPOT XS1, XS2 and XS3 image triples and are compared to the classical correlation coefficient measure.
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Submitted on : Wednesday, May 24, 2006 - 2:50:02 PM
Last modification on : Saturday, January 27, 2018 - 1:31:04 AM
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  • HAL Id : inria-00074235, version 1



Espen Volden, Gérard Giraudon, Marc Berthod. Modelling Image Redundancy. RR-2440, INRIA. 1994. ⟨inria-00074235⟩



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