Framework for FPGA-based discrete biorthogonal wavelet transforms implementation

IS Uzun, A Amira

    Research output: Contribution to journalArticle

    9 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.
    LanguageEnglish
    Pages721-734
    JournalIEE Proceedings - Vision Image and Signal Processing
    Volume153
    Issue number6
    DOIs
    Publication statusPublished - Dec 2006

    Fingerprint

    Discrete wavelet transforms
    Field programmable gate arrays (FPGA)
    Rapid prototyping
    Image compression
    Telecommunication
    Numerical analysis
    Signal processing
    Image processing
    Processing

    Cite this

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    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.",
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    Framework for FPGA-based discrete biorthogonal wavelet transforms implementation. / Uzun, IS; Amira, A.

    In: IEE Proceedings - Vision Image and Signal Processing, Vol. 153, No. 6, 12.2006, p. 721-734.

    Research output: Contribution to journalArticle

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    AB - 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.

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