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A Low Rank Based Robust Video Deblocking Method
5191,5192,5193,5194,5195
Draft Accepted
Longfei Chen / Sichuan University
Yang xiaomei / Sichuan University
In this paper we proposed a robust video blocking artifacts reduction method based on low-rank theory and patch grouping. We separate video sequences into low-rank parts and sparse parts in order to improve the accuracy and robustness of the matrix completion problem. A Sigma filter is applied to the sparse parts for further denoising. Experimental results show the obvious effect of proposed method on reducing both blocking artifacts and isolation noise, meanwhile our method enhances the implementation efficiency by adopting Inexact Lagrange Multip-lier algorithm in matrix recovery and completion without any prediction in singular value decomposition or overlap on pixels afterwards.
Important Date
  • Conference Date

    Nov 17

    2014

    to

    Nov 19

    2014

  • Oct 10 2014

    Draft paper submission deadline

  • Oct 31 2014

    Final Paper Deadline

  • Nov 19 2014

    Registration deadline

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