DocumentCode :
3613879
Title :
Fuzzy coded trellis quantization
Author :
D. Gleich;P. Planinsic;Z. Cucej
Author_Institution :
Fac. of Electr. Eng. & Comput. Sci., Maribor Univ., Slovenia
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
49
Lastpage :
52
Abstract :
In this paper we propose an image compression algorithm based on embedded trellis quantization and inventive fuzzy context based modeling (TCQFCB). The indices produced by trellis-coded quantization are adaptively arithmetically coded, bit plane by bit plane. The fuzzy logic is used to assign the probability of the coded symbol for an arithmetic coder. The probability of the coded bit depends on the previous coded bits. The fuzzy logic is used in order to attribute the highest possible probability of the coded bit. The performance of the proposed method is comparable with the state-of-the-art methods.
Keywords :
"Quantization","Context modeling","Arithmetic","Fuzzy logic","Image coding","Probability","Computer science","Art","Entropy coding","Optimization methods"
Publisher :
ieee
Conference_Titel :
Video/Image Processing and Multimedia Communications 4th EURASIP-IEEE Region 8 International Symposium on VIPromCom
Print_ISBN :
953-7044-01-7
Type :
conf
DOI :
10.1109/VIPROM.2002.1026626
Filename :
1026626
Link To Document :
بازگشت