DocumentCode
1733780
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
fYear
2003
Lastpage
42380
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Radio Science Conference, 2003. NRSC 2003. Proceedings of the Twentieth National
Print_ISBN
977-5031-75-3
Type
conf
DOI
10.1109/NRSC.2003.1217338
Filename
1217338
Link To Document