CLC number: TP37
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2017-09-26
Cited: 1
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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.
@article{title="Emerging theories and technologies on computational imaging",
author="Xue-mei Hu, Jia-min Wu, Jin-li Suo, Qiong-hai Dai",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="18",
number="9",
pages="1207-1221",
year="2017",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1700211"
}
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%V 18
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%P 1207-1221
%@ 2095-9184
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%DOI 10.1631/FITEE.1700211
TY - JOUR
T1 - Emerging theories and technologies on computational imaging
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1700211
Abstract: 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.
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