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A new fuzzy gradient-adaptive lossy predictive coding system for still image compression

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1 Author(s)
N. A. El-Yamany ; Dept. of Electr. Eng., Alexandria Univ., Egypt

In this paper, a new fuzzy logic-based lossy predictive coding system for gray-scale still image compression is developed. The proposed coder employs a recently introduced adaptive fuzzy prediction methodology in the predictor design. In addition, it adopts a novel fuzzy gradient-adaptive quantization scheme. The proposed coding technique possesses superior performance over its non-fuzzy counterparts especially at low bit quantization. This is due to the inherent adaptivity in the fuzzy prediction methodology as well as the gradient-adaptive quantization scheme. Simulation results are provided to demonstrate the efficient performance of the proposed fuzzy predictive coding system.

Published in:

EUROCON 2003. Computer as a Tool. The IEEE Region 8  (Volume:2 )

Date of Conference:

22-24 Sept. 2003