Title :
A new fuzzy gradient-adaptive lossy predictive coding system
Author :
El-Khamy, Said E. ; El-Yamany, Noha A.
Author_Institution :
Dept. of Electr. Eng., Alexandria Univ., Egypt
Abstract :
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 linear 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.
Keywords :
data compression; fuzzy logic; gradient methods; image coding; fuzzy gradient-adaptive quantization; gray-scale still image compression; lossy predictive coding system; performance; Decoding; Fuzzy logic; Fuzzy systems; Gray-scale; Image coding; Image reconstruction; Image storage; Predictive coding; Pulse modulation; Quantization;
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2003. SPAWC 2003. 4th IEEE Workshop on
Print_ISBN :
0-7803-7858-X
DOI :
10.1109/SPAWC.2003.1319048