Blind image restoration with sparse priori regularization for passive millimeter-wave images
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- 作者：Tingting Liu1 ; Zengzhao Chen1 ; Sanyan Liu ; lsy5918@mail.ccnu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Zhaoli Zhang ; Jiangbo Shu ; hailiu0204@gmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Millimeter wave imaging ; Blind image restoration ; Sparse priori ; Regularization ; Image processing
- 刊名：Journal of Visual Communication and Image Representation
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：40
- 期：part_PA
- 页码：58-66
- 全文大小：4105 K
文摘
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A blind image restoration method for the passive millimeter-wave images is proposed.
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The regularization item is constructed as the hyper-Laplace function ||x||0.6.
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A data-selected matrix is proposed to estimate the accurate pint spread function.
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The proposed method improves the resolution of the PMMW image.