Reconfigurable Hardware Implementations for Lifting-Based DWT Image Processing Algorithms

A novel fast scheme for Discrete Wavelet Transform (DWT) was lately introduced under the name of lifting scheme. This new scheme presents many advantages over the convolution-based approach. For instance it is very suitable for parallelization. In this paper we present two new FPGA-based parallel implementations of the DWT lifting-based scheme. The first implementation uses pipelining, parallel processing and data reuse to increase the speed up of the algorithm. In the second architecture a controller is introduced to deploy dynamically a suitable number of clones accordingly to the available hardware resources on a targeted environment. These two architectures are able of processing large size incoming images or multi-framed images in real-time. The simulations driven on a Xilinx Virtex-5 FPGA environment has proven the practical efficiency of our contribution. In fact, the first architecture has given an operating frequency of 289 MHz, and the second architecture demonstrated the controllerpsilas capabilities of determining the true available resources needed for a successful deployment of independent clones, over a targeted FPGA environment and processing the task in parallel.