DocumentCode :
2955436
Title :
Complementary image compression based on the theory of fuzzy information granulation
Author :
Xiu, Bao-xin ; Zhang, Wei-Ming ; Liu, Zhong ; Huang, Jin-cai
Author_Institution :
Sch. of Inf. Syst. & Manage., Nat. Defense Technol. Univ., Hunan, China
Volume :
4
fYear :
2005
fDate :
10-12 Oct. 2005
Firstpage :
3024
Abstract :
In this paper, we improve the image compression method based on the theory of fuzzy information granulation (TFIG). Granulation structure of image is introduced, and the basic principle of complementary image compression based on TFIG is investigated. A new compression method is proposed based on such granulation structure. It has been testified with better effect than the original method based on TFIG by many experiments.
Keywords :
data compression; fuzzy set theory; image coding; fuzzy information granulation; image compression; image granulation structure; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Humans; Image coding; Image reconstruction; Information management; Management information systems; PSNR; Technology management; Complementary Compression; Fuzzy information granulation; granulation structure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9298-1
Type :
conf
DOI :
10.1109/ICSMC.2005.1571610
Filename :
1571610
Link To Document :
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