DocumentCode :
319545
Title :
Image compression using integer-modulated subband filters
Author :
Bi, M. ; Ong, S.H. ; Ang, Y.H.
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
Volume :
1
fYear :
1997
fDate :
9-12 Sep 1997
Firstpage :
495
Abstract :
In this paper, the sufficient conditions for designing error-free integer-modulated filter banks is proposed. The methods for selecting the best filter bank for the purpose of data compression from a large number of candidates satisfying the sufficient perfect reconstruction conditions are also extensively studied. The ability of image compression using the resulting filter banks are tested. The simulation results show that the integer-modulated filter banks obtained by maximizing the coding gain based the AR(1) signal model performs very closely to the real-valued modulated subband filter banks
Keywords :
data compression; filtering theory; image coding; modulation; AR(1) signal model; coding gain; data compression; error-free integer-modulated filter banks; image compression; integer-modulated subband filters; perfect reconstruction conditions; simulation results; sufficient conditions; Bismuth; Data compression; Filter bank; Image coding; Image reconstruction; Modulation coding; Prototypes; Signal synthesis; Speech coding; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on
Print_ISBN :
0-7803-3676-3
Type :
conf
DOI :
10.1109/ICICS.1997.647147
Filename :
647147
Link To Document :
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