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Image restoration and reconstruction based on simple lenses computational imaging
Wang, X.-H.; J.-K. Hao; W. Huang and J.-H. Ouyang
2017
发表期刊Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition)
卷号47期号:3
摘要In order to obtain high quality image information under the condition of compact optical lens structure, an approach for image restoration and reconstruction based on simple lenses computational imaging was proposed. First, by analyzing the characteristics of the Space Variant Point Spread Function (SVPSF) of the optical system, the method of SVPSF acquisition and measurement was presented. Then, the image sectioned restoration algorithm with SVPSF based adaptive sparse prior information was developed, which was used successfully in the restoration of blurry images through simple lenses. To validate the algorithm, the imaging results were obtained from through simple lenses imaging by the digital simulation and real images. Experimental results indicate that the algorithm can efficiently suppress the ringing effect and preserve the details of the images. 2017, Editorial Board of Jilin University. All right reserved.
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语种中文
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/59290
专题中科院长春光机所知识产出
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Wang, X.-H.,J.-K. Hao,W. Huang and J.-H. Ouyang. Image restoration and reconstruction based on simple lenses computational imaging[J]. Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition),2017,47(3).
APA Wang, X.-H.,J.-K. Hao,&W. Huang and J.-H. Ouyang.(2017).Image restoration and reconstruction based on simple lenses computational imaging.Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition),47(3).
MLA Wang, X.-H.,et al."Image restoration and reconstruction based on simple lenses computational imaging".Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) 47.3(2017).
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