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On-line Access: 2017-10-25

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Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.9 P.1205-1206

http://doi.org/10.1631/FITEE.1730000


Special feature on computational photography


Author(s):  Qiong-hai Dai

Affiliation(s):  Tsinghua University, Beijing 100084, China

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

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Qiong-hai Dai. Special feature on computational photography[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(9): 1205-1206.

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author="Qiong-hai Dai",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1730000"
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Abstract: 
Computational photography is an emerging field targeting for overcoming limitations of conventional photography, and holds great potential for building both new consumer cameras and scientific observation instruments. At the convergence of multiple disciplines, including computer vision, graphics, optics, and signal processing, computational photography has opened new frontiers in the past decade. Academia and industry together witnessed a series of innovative and exciting progress. The emerging field is full of opportunities and challenges. Here, we dedicate this special feature on computational photography to advancing the studies of this field.
  From the viewpoint of the dimension of captured visual signals, we can categorize the studies in computational photography into several groups: spatial structure imaging, multi-spectral capture, phase imaging, temporal information recording, etc. Besides the acquisition of light signals, computational photography also benefits from the development of electrooptical technologies. To provide a comprehensive overview of this field, this special feature is composed of one invited research paper on recent progress in on-chip optical interconnects and seven invited review papers on computational photography, including an overview of the whole field and six surveys on computational acquisition along various dimensions of the visual signals.

计算摄像学专题概述

概要:计算摄像学是为了突破传统成像技术局限而诞生的新兴领域,在研制新型民用相机和科学观测设备方面均有巨大潜力。过去十余年,计算摄像学在计算机视觉、图形学、光学以及信号处理等多学科交叉领域开启了新的前沿,学术界和工业界共同见证了此领域的一系列创新和重大进展。可以说,该领域充满机遇和挑战。为此,我们出版此计算摄像学专题,以推动此领域的研究。
  依据视觉信号的维度,我们将计算摄像学研究分为空间结构成像、多光谱采集、相位成像以及瞬态信息记录等。计算摄像学研究也受益于光电科技的发展。为促进读者对此领域最新进展的全面了解,此专题包括8篇邀请文章,其中7篇综述--包括1篇该领域总体概述和6篇关于视觉信号不同维度计算成像方法进展的调查--以及1篇关于片上光互连近期进展的研究论文。

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Reference

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