@inproceedings{21f3dd4e87cb439081388b12a502cacb,
title = "Snapshot multiplexed imaging based on compressive sensing",
abstract = "Multiplexed imaging methods have been proposed to extend the field of view (FoV) of the imaging devices. However, the nature of multiple exposures hinders its application in time-crucial scenarios. In this paper, we design a snapshot multiplexed imaging system for wide FoV imaging. In the system, the scene is first spatially encoded by a mask, and then the coded scene is optically divided into multiple sub-regions which are finally superimposed and measured on a sensor array. We model the demultiplexing as a compressive sensing (CS) reconstruction problem and introduce two methods, one is based on Total Variation (TV) constraint and the other is based on sparsity constraint, to reconstruct the scene. Simulation results demonstrate the effectiveness of the proposed system.",
keywords = "CS, Multiplexed imaging, Snapshot, Wide FoV",
author = "Ying Fu and Chen Sun and Lizhi Wang and Hua Huang",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 19th Pacific-Rim Conference on Multimedia, PCM 2018 ; Conference date: 21-09-2018 Through 22-09-2018",
year = "2018",
doi = "10.1007/978-3-030-00767-6_43",
language = "English",
isbn = "9783030007669",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "465--475",
editor = "Wen-Huang Cheng and Toshihiko Yamasaki and Chong-Wah Ngo and Richang Hong and Meng Wang",
booktitle = "Advances in Multimedia Information Processing – PCM 2018 - 19th Pacific-Rim Conference on Multimedia, 2018, Proceedings",
address = "Germany",
}