Gallium arsenide multiplierless filter bank for two-dimensional discrete wavelet transform (2D-DWT) computation

In this paper, the implementation and results obtained for a Gallium Arsenide (GaAs) multiplierless filter bank with applications on Two Dimensional Discrete Wavelet Transform (2D-DWT) are presented. Among the benefits offered by this architecture, its configurable characteristics, which allow affording input images with different sizes, as well as the ability to compute up to 10 levels of sub-band decomposition, are outlined. Different types of filters have been studied in order to select the one that best matches the requested applications. This election is based on a compromise among compactness of relevant image information in the LL sub-band, compression algorithms and VLSI simplicity. As a result, a filter running at 250 MHz with 3.2W of power dissipation is obtained, allowing CCIR applications.