142 / 1971-01-01 00:00:00
A Low Rank Based Robust Video Deblocking Method
5191,5192,5193,5194,5195
全文录用
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.
重要日期
  • 会议日期

    11月17日

    2014

    11月19日

    2014

  • 10月10日 2014

    初稿截稿日期

  • 10月31日 2014

    终稿截稿日期

  • 11月19日 2014

    注册截止日期

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