A novel framework method for non-blind deconvolution using subspace images priors
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- 作者：Peixian Zhuang ; Xueyang Fu ; Yue Huang ; Delu Zeng ; Xinghao Ding ; dxh@xmu.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Non-blind deconvolution ; Subspace images priors ; Existing deblurring techniques ; Least square integration
- 刊名：Signal Processing: Image Communication
- 出版年：2016
- 出版时间：August 2016
- 年：2016
- 卷：46
- 期：Complete
- 页码：17-28
- 全文大小：5130 K
文摘
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A novel framework for non-blind deconvolution is proposed.
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The priors of image subspaces are utilized to improve performance.
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Precise image structures can be protected for performance promotion.
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The framework can be generally extended to existing methods.
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The framework can be more robust to noise by subspaces decomposition.