Recent Advances in Computational Photography  

作　　者：DAI Qionghai WU Jiamin FAN Jingtao XU Feng CAO Xun 

机构地区：[1]Department of Automation,Tsinghua University [2]Beijing Key Laboratory of Multi-dimension & Multi-scale Computational Photography (MMCP),Tsinghua University [3]School of Software,Tsinghua University [4]School of Electronic Science and Engineering,Nanjing University

出　　处：《Chinese Journal of Electronics》2019年第1期1-5,共5页电子学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.61327902,No.61627804)

摘　　要：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 interdisciplinary 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.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 interdisciplinary 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.

关 键 词：COMPUTATIONAL PHOTOGRAPHY Gigapixel IMAGING SUPER-RESOLUTION IMAGING COMPRESSIVE sensing HYPERSPECTRAL IMAGING 

分 类 号：TN[电子电信]