Image compression using integer-modulated subband filters

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.