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On-line Access: 2017-10-25

Received: 2017-03-28

Revision Accepted: 2017-08-16

Crosschecked: 2017-09-26

Cited: 1

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Citations:  Bibtex RefMan EndNote GB/T7714


Qiong-hai Dai


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Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.9 P.1207-1221


Emerging theories and technologies on computational imaging

Author(s):  Xue-mei Hu, Jia-min Wu, Jin-li Suo, Qiong-hai Dai

Affiliation(s):  Department of Automation, Tsinghua University, Beijing 100084, China; more

Corresponding email(s):   qhdai@tsinghua.edu.cn

Key Words:  Computational imaging, Multi-scale and multi-dimensional, Super-resolution, Femto-photography, 3D reconstruction, Hyperspectral imaging

Xue-mei Hu, Jia-min Wu, Jin-li Suo, Qiong-hai Dai. Emerging theories and technologies on computational imaging[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(9): 1207-1221.

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T1 - Emerging theories and technologies on computational imaging
A1 - Xue-mei Hu
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1700211

computational imaging describes the whole imaging process from the perspective of light transport and information transmission, features traditional optical computing capabilities, and assists in breaking through the limitations of visual information recording. Progress in computational imaging promotes the development of diverse basic and applied disciplines. In this review, we provide an overview of the fundamental principles and methods in computational imaging, the history of this field, and the important roles that it plays in the development of science. We review the most recent and promising advances in computational imaging, from the perspective of different dimensions of visual signals, including spatial dimension, temporal dimension, angular dimension, spectral dimension, and phase. We also discuss some topics worth studying for future developments in computational imaging.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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