Microsoft Word - JSAT_Reduced memory wavelet transform coding

Abstract— This paper proposes an image compression scheme using a personalized storage Discrete Wavelet Transform (DWT). In image compression schemes based on DWT, the module that generates these wavelet coefficients is sequentially attached to some encoding bitplanes. As the level of DWT decomposition increases the quantity of bits required to represent the wavelet coefficients is increased. A significant amount of memory is required to store these coefficients especially when the level of decomposition of DWT is high. In this paper, a post-processing method is proposed to set the amplitude of the variable coefficients. This is accomplished, depending on the level of the coefficient and the planes of most significant bits of the last levels can be used to store other bitplanes from other levels. The results show a significant reduction in memory consumption for processing the algorithm that uses SPIHT wavelet decomposition characteristics and a post-processing.