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
fDate :
2/1/2001 12:00:00 AM
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
