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    Multiview image coding using depth layers and an optimized bit allocation

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    Authors
    Gelman, Andriy
    Dragotti, Pier Luigi
    Velisavljević, Vladan
    Issue Date
    2012
    Subjects
    image coding
    discrete wavelet transforms
    Three dimensional displays
    
    Metadata
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    Abstract
    The authors present a novel wavelet-based compression algorithm for multiview images. This method uses a layer-based representation, where the 3-D scene is approximated by a set of depth planes with their associated constant disparities. The layers are extracted from a collection of images captured at multiple viewpoints and transformed using the 3-D discrete wavelet transform (DWT). The DWT consists of the 1-D disparity compensated DWT across the viewpoints and the 2-D shape-adaptive DWT across the spatial dimensions. Finally, the wavelet coefficients are quantized and entropy coded along with the layer contours. To improve the rate-distortion performance of the entire coding method, we develop a bit allocation strategy for the distribution of the available bit budget between encoding the layer contours and the wavelet coefficients. The achieved performance of our proposed scheme outperforms the state-of-the-art codecs for several data sets of varying complexity.
    Citation
    Gelman, A., Dragoti, P.L. and Velisavljevic, V. (2012) 'Multiview image coding using depth layers and an optimized bit allocation', IEEE Transactions on Image Processing, 21(9), pp.4092-4105.
    Publisher
    IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
    Journal
    IEEE Transactions on Image Processing
    URI
    http://hdl.handle.net/10547/292553
    DOI
    10.1109/TIP.2012.2201490
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6205377
    Type
    Article
    Language
    en
    ISSN
    1057-7149
    1941-0042
    ae974a485f413a2113503eed53cd6c53
    10.1109/TIP.2012.2201490
    Scopus Count
    Collections
    Centre for Wireless Research (CWR)

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