%0 Journal Article
%T Wavelet-based Entropy Measure for Rate-Distortion Optimization in Image Coding
%A J. Garcia-Alvarez
%A H. F¨¹hr
%A G. Castellanos-Dom¨ªnguez
%J International Journal of Electronics and Telecommunications
%D 2010
%I 
%R 10.2478/v10177-010-0003-6
%X A novel method for calculation of the entropy measure in wavelet space is proposed. This perceived-based entropy measure uses a Second Order Model entropy estimator, in which the occurrence of neighbors is considered in formulation. It has the intention to allow the implementation of a more suitable measure in coding processes and a relationship between the metric and the description of perceptual features. This method is used for the Rate-Distortion optimization in order to improve the bit-allocation coding algorithm, demonstrating that the wavelet-based entropy estimates a truncation step close to the target rate. The hypothesis is founded in the effect of distortion on the coefficient allocation. Because entropy measure is a close approximation of the conditional probability of image in multi-resolution space, it provides an adequate representation for the information of a Detail feature. A definition of Detail-based homogeneity variance criteria is used for the information quantity - wavelet representation space, in order to find the image that fits a given Quality Level criteria. Experimental results are obtained for artificial and natural databases.
%K Entropy
%K Wavelet transform
%K Information measure
%K Rate distortion
%U http://versita.metapress.com/content/m788714032205661/?p=53ad911483d7453a9aee5a84d9caafec&pi=2