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    Compression of 3D integral images using 3D wavelet transform

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    Authors
    Aggoun, Amar
    Affiliation
    Brunel University
    Issue Date
    2011-11
    Subjects
    integral imaging
    3D imaging
    3D Wavelet Transform
    
    Metadata
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    Abstract
    Integral imaging is a technique capable of displaying 3D images with continuous parallax in full natural color. It has been reported by many research groups and is becoming a viable alternative for 3D television. With the development of 3D integral imaging, image compression becomes mandatory for the storage and transmission of 3D integral images. In this paper, the use of the lifting scheme in the application of a 3D Wavelet Transform for the compression of 3D Integral Images is proposed. The method requires the extraction of different viewpoint images from an integral image. The 3D wavelet decomposition is computed by applying three separate 1D transforms along the coordinate axes of the given sequence of Viewpoint Images. The spatial wavelet decompositions on a single viewpoint and on the inter-viewpoint images are performed using the biorthogonal Cohen-Debauchies-Feauveau 9/7 and 5/3 filter banks, respectively. All the resulting wavelet coefficients from application of the 3D wavelet decomposition are arithmetic encoded. Simulations are performed on a set of different grey level 3D Integral Images using a uniform scalar quantizer with deadzone. The results for the average of the four intensity distributions are presented and compared with previous use of 2D DWT and 3D-DCT based schemes. It was found that the algorithm achieves better rate-distortion performance and reconstructs the images with much better image quality at very low bit rates.
    Citation
    Aggoun, A. (2011) 'Compression of 3D Integral Images Using 3D Wavelet Transform' Journal of Display Technology 7 (11):586
    Publisher
    IEEE
    Journal
    Journal of Display Technology
    URI
    http://hdl.handle.net/10547/593544
    DOI
    10.1109/JDT.2011.2159359
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6021885
    Type
    Article
    Language
    en
    ISSN
    1551-319X
    1558-9323
    ae974a485f413a2113503eed53cd6c53
    10.1109/JDT.2011.2159359
    Scopus Count
    Collections
    Centre for Research in Distributed Technologies (CREDIT)

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