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On the representation of visual information

conference contribution
posted on 2001-01-01, 00:00 authored by M Ferraro, G Boccignone, Terry CaelliTerry Caelli
Loss of information in images undergoing fine-to-coarse image transformations is analized by using an approach based on the theory of irreversible transformations. It is shown that entropy variation along scales can be used to characterize basic, low-level information and to gauge essential perceptual components of the image, such as shape and texture. The use of isotropic and anisotropic fine-to-coarse transformations of grey level images is discussed, and an extension of the approach to multi-valued images is proposed, where cross-interactions between the different colour channels are allowed.

History

Volume

2059

Pagination

176 - 185

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783540421207

ISBN-10

3540421203

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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