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