32 / 2017-02-25 22:03:10
Single Image Super-resolution Reconstruction Method Based on LC-KSVD Algorithm
Label consist K-SVD( LC-KSVD), KSVD, sparse representation, super-resolution reconstruction, dictionary learning.
摘要录用
A good dictionary has direct impact to the result of super-resolution image reconstruction. For solving the problem that dictionary learning only contains representation ability but no class information using K-SVD algorithm ,this paper proposes single image super-resolution algorithm based on LC-KSVD (Label consist K-SVD).The algorithm adds classifier parameter constraints into the process of dictionary learning and classifier parameters in the process, making the dictionary possess good representation and discrimination ability. The experimental results show that the algorithm has high reconstruction results and good robustness.
重要日期
  • 会议日期

    03月24日

    2017

    03月26日

    2017

  • 02月28日 2017

    初稿截稿日期

  • 03月05日 2017

    初稿录用通知日期

  • 03月10日 2017

    终稿截稿日期

  • 03月26日 2017

    注册截止日期

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