Discrete Wavelet Transform for image compression - A hardware approach

In the last few years, there has been a great deal of effort invested in the fields of Discrete Wavelet Transform by the scientific community. Discrete Wavelet Transform associated with vector quantization has been proved to be an invaluable tool for image compression. The Discrete Wavelet Transform, however, is very computationally intensive process. There is a need to investigate innovative and computationally efficient architectures to obtain the image compression in real time. In this paper, we present a novel, robust, and regular architecture to implement the Discrete Wavelet Transform for image compression. Beside the performance, the architecture takes into account data format, power, hardware cost and scalability issues rising from realistic operating conditions.