Framework for FPGA-based discrete biorthogonal wavelet transforms implementation

IS Uzun, A Amira

    Research output: Contribution to journalArticlepeer-review

    12 Citations (Scopus)


    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.
    Original languageEnglish
    Pages (from-to)721-734
    JournalIEE Proceedings - Vision Image and Signal Processing
    Issue number6
    Publication statusPublished (in print/issue) - Dec 2006


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