@inproceedings{a08fcd9313d94ea2ad32da48d6396d7d,
title = "Real-time adaptive coded aperture: Application to the compressive spectral imaging system",
abstract = "Adaptive coding is a recently emerging strategy for designing coded apertures using a-priori information of target layout to improve the reconstruction accuracy of compressed information. Based on the compressive sensing imaging system, this paper proposes a method for designing adaptive coded apertures by using the low-resolution a-prior information of every spectral band of the scene. This method also enables coded apertures containing both positive and negative coding information can be implemented in a compressive spectral imaging system that uses DMD or similar device as a coding device. Compared with other designs that utilized various kinds of a-prior information, this solution does not require additional equipment and is in real-time. The simulation results show the proposed real-time adaptive coded apertures method can attain better reconstruction performance than that of a random coding method at relative high compression ratio.",
keywords = "Adaptive coded aperture, Coded aperture imaging, Compressive sensing, Computational imaging, Multispectral and hyperspectral imaging",
author = "Yuhan Zhang and Tingfa Xu and Xi Wang and Chenguang Pan and Jianhua Hao and Chen Huang",
note = "Publisher Copyright: {\textcopyright} 2020 SPIE; Optics, Photonics and Digital Technologies for Imaging Applications VI 2020 ; Conference date: 06-04-2020 Through 10-04-2020",
year = "2020",
doi = "10.1117/12.2557061",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Peter Schelkens and Tomasz Kozacki",
booktitle = "Optics, Photonics and Digital Technologies for Imaging Applications VI",
address = "United States",
}