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Recent Advances in Computational Photography

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Traditional photography focuses on the optimization of lenses for a perfect imaging system. However, with the great developments of computational resources and optical modulation devices, we can achieve more powerful imaging abilities with concise optics. Computational photography is such an emerging inter-disciplinary field by incorporating computational strategy in traditional imaging system to break the limitations in various dimensions such as spectrum, time and space. Recent advances in different aspects have aroused great interests and introduced tremendous applications in biology, material science and computer vision.

Computational photographyGigapixel imagingSuper-resolution imagingCompressive sensingHyperspectral imaging

DAI Qionghai、WU Jiamin、FAN Jingtao、XU Feng、CAO Xun

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Department of Automation, Tsinghua University, Beijing 100084, China

Beijing Key Laboratory of Multi-dimension & Multi-scale Computational Photography (MMCP), Tsinghua University, Beijing 100084, China

School of Software, Tsinghua University, Beijing 100084, China

School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China

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This work is supported by the National Natural Science Foundation of ChinaThis work is supported by the National Natural Science Foundation of China

6132790261627804

2019

10.1049/cje.2018.10.006

中国电子杂志(英文版)

中国电子杂志(英文版)

CSTPCDCSCDSCIEI
ISSN：1022-4653
年,卷(期)：2019.28(1)
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