A lifting-based DWT and IDWT processor with multi-context configuration and normalization factor

In this paper, we propose a generalized lifting-based wavelet processor that can be configured to compute various forward and inverse DWTs. Our architecture is based on NxM PEs which can perform either prediction or update on a continuous data stream in every two clock cycles. We also consider the normalization step which takes place at the end of the forward DWT or at the beginning of the inverse DWT. To cope with different wavelet filters, we feature a multi-context configuration to select among various DWTs. The proposed processor can be operated at around 186 MHz depending on the data width selection.