Comparing image compression predictors using fractal dimension

Authors:
Radu Dobrescu;Matei Dobrescu;Stefan Mocanu;Sebastian Taralunga
Affiliations:
Faculty of Control & Computers, POLITEHNICA University of Bucharest, Romania;Faculty of Control & Computers, POLITEHNICA University of Bucharest, Romania;Faculty of Control & Computers, POLITEHNICA University of Bucharest, Romania;Faculty of Control & Computers, POLITEHNICA University of Bucharest, Romania
Venue:
ACMOS'06 Proceedings of the 8th WSEAS international conference on Automatic control, modeling & simulation
Year:
2006

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Abstract

The paper analyzes the ability of a fractal dimension estimator to evaluate the performance of two types of predictors employed in the lossless image compression. framework of the LOCO-I algorithm. The fractal dimension is computed for grayscale images using a box-counting procedure and allows to choose the best predictor.