Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/50626
Title: Image compression using integer-modulated subband filters
Authors: Bi, M.
Ong, S.H. 
Ang, Y.H. 
Issue Date: 1997
Source: Bi, M.,Ong, S.H.,Ang, Y.H. (1997). Image compression using integer-modulated subband filters. Proceedings of the International Conference on Information, Communications and Signal Processing, ICICS 1 : 495-499. ScholarBank@NUS Repository.
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.
Source Title: Proceedings of the International Conference on Information, Communications and Signal Processing, ICICS
URI: http://scholarbank.nus.edu.sg/handle/10635/50626
Appears in Collections:Staff Publications

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