A new denoising model for multi-frame super-resolution image reconstruction
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- 作者：Idriss El Mourabita ; Mohammed El Rhabib ; Abdelilah Hakima ; Amine Laghribc ; laghrib.amine@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Eric Moreaud
- 关键词：Super-resolution ; Multi-frame ; Image restoration ; Variational regularization ; Tensor diffusion
- 刊名：Signal Processing
- 出版年：2017
- 出版时间：March 2017
- 年：2017
- 卷：132
- 期：Complete
- 页码：51-65
- 全文大小：2466 K
文摘
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We treat the multi-frame super-resolution task based on regularization technique.
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We propose a new tensor based diffusion regularization that preserves important image features such as sharp edges and corners.
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The improved PDE is efficient in noisy image super-resolution task.
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The proposed method achieves superior performance comparing with other approaches.