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    Efficient edge, motion and depth-range adaptive processing for enhancement of multi-view depth map sequences

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    Authors
    Ekmekcioglu, Erhan
    Velisavljević, Vladan
    Worrall, Stewart T.
    Issue Date
    2009
    Subjects
    adaptive signal processing
    data compression
    image motion analysis
    image segmentation
    iterative methods
    
    Metadata
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    Abstract
    The authors present a novel and efficient multi-view depth map enhancement method proposed as a post-processing of initially estimated depth maps. The proposed method is based on edge, motion and scene depth-range adaptive median filtering and allows for an improved quality of virtual view synthesis. To enforce the spatial, temporal and inter-view coherence in the multi-view depth maps, the median filtering is applied to 4-dimensional windows that consist of the spatially neighboring depth map values taken at different viewpoints and time instants. A fast iterative block segmentation approach is adopted to adaptively shrink these windows in the presence of edges and motion for preservation of sharpness and realistic rendering and for improvement of the compression efficiency. We show that our enhancement method leads to a reduction of the coding bit-rate required for representation of the depth maps and also leads to a gain in the quality of synthesized views at arbitrary virtual viewpoints.
    Citation
    Ekmekcioglu, E., Velisavljevic, V. and Worrall, S.T. (2009) 'Efficient edge, motion and depth-range adaptive processing for enhancement of multi-view depth map sequences', 16th IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 7-10 November. Cairo: IEEE, pp.3537-3540.
    Publisher
    IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
    URI
    http://hdl.handle.net/10547/292612
    DOI
    10.1109/ICIP.2009.5414087
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5414087
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9781424456550
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICIP.2009.5414087
    Scopus Count
    Collections
    Centre for Wireless Research (CWR)

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