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Lensless Computational Imaging with Separable Coded Mask
Wei, Zhaoqi1,2; Su, Xiuqin1; Zhu, Wenhua1,2
2018
Conference Name3rd IEEE International Conference on Image, Vision and Computing (ICIVC)
Source Publication2018 IEEE 3RD INTERNATIONAL CONFERENCE ON IMAGE, VISION AND COMPUTING (ICIVC)
Pages614-617
Conference Date2018-06-27
Conference PlaceChongqing, PEOPLES R CHINA
PublisherIEEE
Contribution Rank1
Abstract

We use separable coded mask to replace the lenses, atop the image sensor-lensless imaging which can make system thinner. The imaging mathematic model is obtained by training a large number of separable patterns, and the original scene can be reconstructed by the computational imaging method, which can be used for the imaging of complex extended scenes under visible light. The method greatly reduces the thickness, volume, and weight of the imaging system. Currently, we build a prototype at visible wavelengths, successfully reconstruct images of 512 x 512 pixels in visible light. We will improve image quality and resolution to achieve the level of face recognition in future.

Department光电测量技术实验室
DOI10.1109/ICIVC.2018.8492893
Indexed ByEI ; CPCI
ISBN978-1-5386-4991-6
Language英语
WOS IDWOS:000448170000121
EI Accession Number20184706085712
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30707
Collection光电测量技术实验室
Corresponding AuthorWei, Zhaoqi
Affiliation1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Wei, Zhaoqi,Su, Xiuqin,Zhu, Wenhua. Lensless Computational Imaging with Separable Coded Mask[C]:IEEE,2018:614-617.
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