Novel approach on lifting-based DWT and IDWT processor with multi-context configuration to support different wavelet filters

Abstract

In this paper, we propose a lifting-based DWT processor that can perform various forward and inverse transforms. Contrary to other lifting-based processors which focus on JPEG2000, our design is based on the fact that the wavelet transformations are not used only in the area of image processing and wavelet filters may not be represented as integer numbers. The proposed architecture is based on NxM processing elements which require only one multiplier and one adder to perform prediction/update on a continuous data stream. The multi-context feature allows the processor to be configured for different types of transformations in a simple manner.