Title :
A fuzzy gradient-adaptive lossy predictive coding technique
Author :
El-khamy, Said E. ; El-Yamany, Noha A.
Author_Institution :
Dept. of Electr. Eng., Alexandria Univ., Egypt
Abstract :
In this paper a new adaptive fuzzy predictive coding system is introduced. The proposed coder employs the adaptive fuzzy prediction methodology developed in [Tian-Hu Yu, 1998]. This results in better prediction of smooth as well as edge regions. In addition, the proposed coder adopts a novel fuzzy gradient-adaptive quantization scheme that switches between three well-designed nonuniform quantizers depending on the local gradient of the pixel to be coded. This, in turn, leads to reduced quantization errors in both smooth and edge regions and consequently higher perceptual quality of reconstructed images is achieved.
Keywords :
adaptive codes; data compression; fuzzy logic; gradient methods; image coding; image reconstruction; prediction theory; adaptive fuzzy predictive coding system; gradient-adaptive quantization scheme; image coding; image compression; image reconstruction; perceptual quality; quantization error reduction; reconstructed images; switched quantization; Bit rate; Decoding; Entropy; Fuzzy logic; Fuzzy systems; Image coding; Image storage; Predictive coding; Pulse modulation; Quantization;
Conference_Titel :
Radio Science Conference, 2003. NRSC 2003. Proceedings of the Twentieth National
Print_ISBN :
977-5031-75-3
DOI :
10.1109/NRSC.2003.1217338