This brief paper proposes an efficient multi-input/multi-output VLSI Folded Architecture (MIMOFA) for two-dimensional lifting-based discrete wavelet transforms (DWT). In comparison with other 2-D DWT folded architecture, the advantages of the proposed architecture are 100% hardware utilization, fast computing time (10 times of the parallel filters), regular data flow, and low control complexity...

Wavelets intrinsically give us the capability of localized signal decomposition and analysis in space and frequency. However, the popular Fast Wavelet Transform (FWT) that is typically used as an “off the shelf” component in most wavelet based compression algorithms like the Embedded Zerotree (EZW), organizes the intermediate coefficients only by frequency, and not by space. We present the Recu...

In this paper a watermarking method using hybrid wavelet transform and SVD is proposed. Hybrid wavelet transform generated from two different orthogonal transforms is applied on host and SVD is applied to watermark. The transforms used for hybrid wavelet transform generation are DCT, Walsh, Haar and DKT. First component transform used in generation of hybrid wavelet transform corresponds to glo...

In this work, two ECG compression schemes are presented using two types of filter banks to decompose the incoming signal: wavelet packets (WP) and nearly-perfect reconstruction cosine modulated filter banks. The conventional embedded zerotree wavelet (EZW) algorithm takes advantage of the hierarchical relationship among subband coefficients of the pyramidal wavelet decomposition. Nevertheless, ...

WC introduce a new zzrotree scheme that e&tively exploits the inter-scale self-similaritizs found in the octave decomposition hy a wavelet transform. :2 zerotreti is useful to code wavelet coefiicients and its 4&tiveness wa.q proved hy Shapiro’s I:%W. In the coding scheme. wavzlz~ uoellicients are symholizsd and then entropy-coded. ~fhe entropy per symbol is determined from the produced symbols...