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Normalized image representation for efficient coding

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1 Author(s)
Malo, J. ; Dept. d''Optica, Valencia Univ., Spain

In this paper we propose an adaptive nonlinear image representation based on the divisive normalization of local-frequency transforms used in contrast masking models. This normalized representation has two effects: (1) it increases the statistical independence of the coefficients of the representation and (2) it is Euclidean from a perceptual point of view. Experimental results show that reducing the remaining statistical and perceptual dependence using normalized representations for transform coding may make a big difference in the qualify of the reconstructed images.

Published in:

Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on  (Volume:2 )

Date of Conference:

9-12 Nov. 2003