Generic RAM-based architecture for two-dimensional discrete wavelet transform with line-based method

Abstract

In this paper, by using line-based methods, a generic RAM-based architecture is proposed to construct the corresponding two-dimensional architectures efficiently for any given hardware architecture of one-dimensional wavelet filters, including conventional convolution-based and advanced lifting-based architectures. The categories of line buffer and the strategy to optimize the size of internal memory are also described. For multi-level two-dimensional discrete wavelet transforms, the recursive pyramid algorithm is adopted to turn our proposed architecture into another efficient architecture. According to the comparison results, the proposed architecture outperforms previous arts in the aspects of memory size, control complexity, and flexibility.