IEEE Computational Science & Engineering
Lossless Image Compression Using Integer to Integer Wavelet Transforms
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
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A novel fast scheme for Discrete Wavelet Transform (DWT) was introduced in last years under the name of lifting scheme [4, 7]. This new scheme presents many advantages over the convolution-based approach [3, 7]. For instance it is very suitable for parallelization. In this paper we present two new parallel FPGA-based implementations of the lifting-based DWT 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 dynamically deploy 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: the first architecture has given an operating frequency of 289 MHz, and the second demonstrated the controller's capabilities of deploying the maximum number of clones from the available resources, over a targeted FPGA environment and processing the task in parallel.