Real-time adaptive coded aperture: application to the compressive spectral imaging system

Yuhan Zhang; Tingfa Xu; Xi Wang; Chenguang Pan; Jianhua Hao; Chen Huang

doi:10.1117/12.2557061

1 April 2020 Real-time adaptive coded aperture: application to the compressive spectral imaging system

Yuhan Zhang, Tingfa Xu, Xi Wang, Chenguang Pan, Jianhua Hao, Chen Huang

Proceedings Volume 11353, Optics, Photonics and Digital Technologies for Imaging Applications VI; 113531B (2020) https://doi.org/10.1117/12.2557061
Event: SPIE Photonics Europe, 2020, Online Only

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.

Conference Presentation

Citation Download Citation

Yuhan Zhang, Tingfa Xu, Xi Wang, Chenguang Pan, Jianhua Hao, and Chen Huang "Real-time adaptive coded aperture: application to the compressive spectral imaging system", Proc. SPIE 11353, Optics, Photonics and Digital Technologies for Imaging Applications VI, 113531B (1 April 2020); https://doi.org/10.1117/12.2557061

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