DocumentCode
1740908
Title
Isotropic versus anisotropic encoding of visual information
Author
Ferraro, Mario ; Boccignone, Giuseppe ; Caelli, Terry
Author_Institution
Dipt. di Fisica Sperimentale, Torino Univ., Italy
Volume
3
fYear
2000
fDate
2000
Firstpage
905
Abstract
Loss of information in images undergoing fine-to-coarse image transformations is analyzed by using an approach based on the theory of irreversible transformations. The method is applied to isotropic and anisotropic diffusion and an algorithm based on entropy variation is presented that extracts relevant features of the image and provides a method to discriminate between smooth, textured and edge-type regions
Keywords
data compression; entropy codes; feature extraction; image coding; algorithm; anisotropic diffusion; anisotropic encoding; edge-type region; entropy variation; feature extraction; fine-to-coarse image transformations; image information loss; irreversible transformations; isotropic diffusion; isotropic encoding; smooth region; textured region; visual information; Anisotropic magnetoresistance; Data mining; Encoding; Entropy; Equations; Feature extraction; Image analysis; Information analysis; Production; Thermodynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.899603
Filename
899603
Link To Document