Deep Learning Based Computational Imaging: Status, Challenges, and Future

Chao Zuo; Shijie Feng; Xiangyu Zhang; Jing Han; Chen Qian

doi:10.3788/AOS202040.0111003

Journals >Acta Optica Sinica >Volume 40 >Issue 1 >Page 0111003 > Article

Acta Optica Sinica
Vol. 40, Issue 1, 0111003 (2020)

Deep Learning Based Computational Imaging: Status, Challenges, and Future

Chao Zuo^1、2, Shijie Feng^1、2, Xiangyu Zhang^1、2, Jing Han², and Chen Qian^2、*

Author Affiliations

¹Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China

²Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China;

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DOI: 10.3788/AOS202040.0111003 Cite this Article Set citation alerts

Chao Zuo, Shijie Feng, Xiangyu Zhang, Jing Han, Chen Qian. Deep Learning Based Computational Imaging: Status, Challenges, and Future[J]. Acta Optica Sinica, 2020, 40(1): 0111003 Copy Citation Text

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Chao Zuo, Shijie Feng, Xiangyu Zhang, Jing Han, Chen Qian. Deep Learning Based Computational Imaging: Status, Challenges, and Future[J]. Acta Optica Sinica, 2020, 40(1): 0111003

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