计算成像领域新理论和新方法

胡雪梅; 吴嘉敏; 索津莉; 戴琼海

doi:10.1631/FITEE.1700211

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计算成像领域新理论和新方法

计算摄像学专题 | Updated：2022-05-19

- 计算成像领域新理论和新方法
- Emerging theories and technologies on computational imaging
- 信息与电子工程前沿（英文） 2017年18卷第9期页码：1207-1221
- Affiliations：
  
  Department of Automation, Tsinghua University, Beijing 100084, China
  Zhejiang Future Technology Institute, Jiaxing 314000, China
- Author bio：
  
  Qiong-hai DAI, E-mail:qhdai@tsinghua.edu.cn
- Funds：
  
  Project supported by the National Natural Science Foundation of China (Nos. 61327902 and 61631009)
- DOI：10.1631/FITEE.1700211
  中图分类号： TP37
- 收稿：2017-05-08，
  
  修回：2017-;9-26，
  
  纸质出版：2017-09
- Accepted：
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胡雪梅, 吴嘉敏, 索津莉, 等. 计算成像领域新理论和新方法[J]. 信息与电子工程前沿（英文）, 2017,18(9):1207-1221.

Xue-mei HU, Jia-min WU, Jin-li SUO, et al. Emerging theories and technologies on computational imaging[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(9): 1207-1221.
胡雪梅, 吴嘉敏, 索津莉, 等. 计算成像领域新理论和新方法[J]. 信息与电子工程前沿（英文）, 2017,18(9):1207-1221. DOI： 10.1631/FITEE.1700211.

Xue-mei HU, Jia-min WU, Jin-li SUO, et al. Emerging theories and technologies on computational imaging[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(9): 1207-1221. DOI： 10.1631/FITEE.1700211.

摘要

计算成像学从光传播和信息传递角度为光的整个成像过程建模，将计算能力引入传统光学成像，旨在突破视觉信息记录的局限。计算成像领域的进展，促进了不同基础学科和应用学科的发展。我们概述了计算成像领域的基本原则和方法、发展过程及其在科学发展中起到的重要作用，从视觉信号的不同维度——包括空间、时间、角度、光谱、相位——分别综述了计算成像领域最新和最先进的研究进展，并讨论了该领域有发展前景的研究方向。

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.

关键词

Keywords

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