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    Space-frequency quantization using directionlets

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    Authors
    Velisavljević, Vladan
    Beferull-Lozano, Baltasar
    Vetterli, Martin
    Issue Date
    2007
    Subjects
    computational complexity
    data compression
    image coding
    image reconstruction
    wavelet transforms
    
    Metadata
    Show full item record
    Abstract
    The authors combined the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional (2-D) wavelet transform (WT). We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art compression methods, like SPIHT and JPEG-2000, in terms of the quality of compressed images, especially in a low-rate compression regime. We also show that the order of computational complexity remains the same, as compared to the complexity of the standard SFQ algorithm.
    Citation
    Velisavljevic, V., Beferull-Lozano, B. and Vetterli, M. (2007) 'Space-frequency quantization using directionlets', IEEE International Conference on Image Processing (ICIP 2007), San Antonio, Texas USA, 16 September - 19 October. San Antonio: IEEE, vol.3, pp.161-164.
    Publisher
    IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
    URI
    http://hdl.handle.net/10547/292578
    DOI
    10.1109/ICIP.2007.4379271
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4379271
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9781424414376
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICIP.2007.4379271
    Scopus Count
    Collections
    Centre for Wireless Research (CWR)

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