The discrete wavelet transform has taken its place at the forefront of research for the development of signal and image processing applications. These wavelet-based approaches have outperformed existing strategies in many areas including telecommunication, numerical analysis and, most notably, image/video compression. The authors present an investigation into the design and implementation of 1-D and 2-D discrete biorthogonal wavelet transforms (DBWTs) using a field programmable gate array (FPGA)-based rapid prototyping environment. The proposed architectures for DBWTs are scalable, modular and have less area and time complexity when compared with existing structures. FPGA implementation results based on a Xilinx Virtex-2000E device have shown that the proposed system provides an efficient solution for the processing of DBWTs in real-time.
|Journal||IEE Proceedings - Vision Image and Signal Processing|
|Publication status||Published - Dec 2006|
Uzun, IS., & Amira, A. (2006). Framework for FPGA-based discrete biorthogonal wavelet transforms implementation. IEE Proceedings - Vision Image and Signal Processing, 153(6), 721-734. https://doi.org/10.1049/ip-vis:20045080