Please use this identifier to cite or link to this item:
|Title:||Image compression using integer-modulated subband filters||Authors:||Bi, M.
|Issue Date:||1997||Citation:||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/10635/81463|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jun 28, 2020
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.