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    Multiview image compression using a layer-based representation

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    Authors
    Gelman, Andriy
    Dragotti, Pier Luigi
    Velisavljević, Vladan
    Issue Date
    2010
    Subjects
    data compression
    image coding
    image representation
    wavelet transforms
    
    Metadata
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    Abstract
    The authors propose a novel compression method for multiview images. The algorithm exploits the layer-based representation, which partitions the data set into planar layers characterized by a constant depth value. For efficient compression, the partitioned data is decorrelated using the separable three-dimensional wavelet transform across the viewpoint and spatial dimensions. The transform is modified to efficiently deal with occlusions and disparity variations for different depths. The generated transform coefficients are entropy coded. Experimental results show that our coding method is capable of outperforming the state-of-the-art algorithms, like H.264/AVC, for different data sets.
    Citation
    Gelman, A., Dragotti, P. L. and Velisavljevic, V. (2010) 'Multiview image compression using a layer-based representation', 17th IEEE International Conference on Image Processing (ICIP), Hong Kong, 26-29 September. Hong Kong: IEEE, pp.493-496
    Publisher
    IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
    URI
    http://hdl.handle.net/10547/292611
    DOI
    10.1109/ICIP.2010.5651160
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5651160
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    978-1-4244-7993-1
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICIP.2010.5651160
    Scopus Count
    Collections
    Centre for Wireless Research (CWR)

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