Single image super resolution using local smoothness and nonlocal self-similarity priors
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- 作者：Honggang Chen ; Xiaohai He ; hxh@scu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Qizhi Teng ; Chao Ren
- 关键词：Single image super resolution ; Reconstruction-based ; Local smoothness ; Nonlocal self-similarity ; Split Bregman Iteration
- 刊名：Signal Processing: Image Communication
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：43
- 期：Complete
- 页码：68-81
- 全文大小：16368 K
文摘
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A reconstruction-based single image super resolution method is presented.
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Local smoothness and nonlocal self-similarity priors are incorporated in our model.
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The Split Bregman Iteration is imitated to solve the L1-regularized problem.
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The proposed method can achieve higher quality results.