DocumentCode
1451296
Title
Encoding visual information using anisotropic transformations
Author
Boccignone, Giuseppe ; Ferrearo, M. ; Caelli, Terry
Author_Institution
Dipt. di Ingegneria dell´´Inf. e Ingegneria Elettrica, Salerno Univ., Italy
Volume
23
Issue
2
fYear
2001
fDate
2/1/2001 12:00:00 AM
Firstpage
207
Lastpage
211
Abstract
The evolution of information in images undergoing fine-to-coarse anisotropic transformations is analyzed by using an approach based on the theory of irreversible transformations. In particular, we show that, when an anisotropic diffusion model is used, local variation of entropy production over space and scale provides the basis for a general method to extract relevant image features
Keywords
diffusion; entropy codes; image coding; transforms; anisotropic diffusion model; anisotropic transformations; entropy production; fine-to-coarse anisotropic transformations; image feature extraction; information evolution; irreversible transformations; visual information encoding; Anisotropic magnetoresistance; Convergence; Data mining; Diffusion processes; Encoding; Entropy; Equations; Image analysis; Information analysis; Production;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.908970
Filename
908970
Link To Document