Framework for FPGA-based discrete biorthogonal wavelet transforms implementation

IS Uzun, A Amira

    Research output: Contribution to journalArticle

    10 Citations (Scopus)

    Abstract

    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
    Volume153
    Issue number6
    DOIs
    Publication statusPublished - Dec 2006

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