• DocumentCode
    3514501
  • Title

    Adaptive Lifting Scheme-based method for joint coding 3D-stereo images with luminance correction and optimized prediction

  • Author

    Darazi, Rony ; Gouze, Annabelle ; Macq, Benoit

  • Author_Institution
    Commun. & Remote Sensing Lab., Univ. Catholique de Louvain, Louvain
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    917
  • Lastpage
    920
  • Abstract
    This paper proposes a new adaptive scheme for stereo image coding . The original left and right images are jointly coded in order to exploit the high correlation between the two images for a lossless coding. Our goal is to design an efficient transform that reduces the existing redundancy in the stereo pair. This approach is inspired by the lifting scheme (LS). First, illumination change compensation has been made. Secondly, the prediction filtering is locally adapted and is based on local horizontal and vertical gradient information. In the sense that small gradient evokes predictability in the same direction. The coefficients of the predictor are then optimized. Experimental results show improvement in term of performance and complexity compared to other proposed methods.
  • Keywords
    adaptive codes; filtering theory; image coding; optimisation; prediction theory; stereo image processing; adaptive lifting scheme-based method; gradient information; illumination change compensation; joint coding 3D-stereo image; lossless coding; luminance correction; optimized prediction; prediction filtering; Biomedical imaging; Electronic mail; Image coding; Layout; Lighting; Motion pictures; Optimization methods; Redundancy; Remote sensing; Surgery; Adaptive and Optimized Prediction; Disparity Compensation; Lifting Scheme; Stereovision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4959734
  • Filename
    4959734