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    Efficient zerotree-based image compression with directionlets

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    Authors
    Velisavljević, Vladan
    Beferull-Lozano, Baltasar
    Vetterli, Martin
    Issue Date
    2007
    Subjects
    image segmentation
    wavelet transforms
    
    Metadata
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    Abstract
    Directionlets are built as basis functions of critically sampled perfect-reconstruction transforms with directional vanishing moments (DVMs) imposed along different directions. Here, we combine the directionlets with the spacefrequency 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 stateof-the-art image compression methods, such as 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) 'Efficient zerotree-based image compression with directionlets', 15th European Signal Processing Conference (EUSIPCO-2007), Poznan, Poland, 3-7 September. Poznan: EURASIP, pp.807-811.
    Publisher
    EURASIP
    URI
    http://hdl.handle.net/10547/292618
    Additional Links
    http://www.eurasip.org/Proceedings/Eusipco/Eusipco2007/Papers/b1l-f01.pdf
    http://www.eurasip.org/Proceedings/Eusipco/Eusipco2007/start.pdf
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9788392134022
    Collections
    Centre for Wireless Research (CWR)

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