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

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

doi:10.3788/AOS202040.0111003

Acta Optica Sinica, Volume. 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、*

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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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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Paper Information

Category: Special Issue on Computational Optical Imaging

Received: Nov. 6, 2019

Accepted: Dec. 5, 2019

Published Online: Jan. 6, 2020

The Author Email: Qian Chen (chenqian@njust.edu.cn)

DOI:10.3788/AOS202040.0111003

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