Snapshot compressive spectral imaging based on adaptive coded apertures

Xu Ma; Hao Zhang; Xiao Ma; Gonzalo R. Arce; Tingfa Xu; Tianyi Mao

doi:10.1117/12.2309809

14 May 2018 Snapshot compressive spectral imaging based on adaptive coded apertures

Xu Ma, Hao Zhang, Xiao Ma, Gonzalo R. Arce, Tingfa Xu, Tianyi Mao

Proceedings Volume 10658, Compressive Sensing VII: From Diverse Modalities to Big Data Analytics; 1065803 (2018) https://doi.org/10.1117/12.2309809
Event: SPIE Commercial + Scientific Sensing and Imaging, 2018, Orlando, FL, United States

Abstract

Coded aperture snapshot spectral imager (CASSI) uses focal plane array (FPA) to capture three dimensional (3D) spectral scene by single or a few two-dimensional (2D) snapshots. Current CASSI systems use a set of fixed coded apertures to modulate the spatio-spectral data cube before the compressive measurement. This paper proposes an adaptive projection method to improve the compressive efficiency of the CASSI system by adaptively designing the coded aperture according to a-priori knowledge of the scene. The adaptive coded apertures are constructed from the nonlinear thresholding of the grey-scale map of the scene, which is captured by an aided RGB camera. Then, the 3D encoded spectral scene is projected onto the 2D FPAs. Based on the sparsity assumption, the spectral images can be reconstructed by the compressive sensing algorithm using the FPA measurements. This paper studies and verifies the proposed adaptive coded aperture method on a spatial super-resolution CASSI system, where the resolution of the coded aperture is higher than that of the FPAs. It is shown that the adaptive coded apertures provide superior reconstruction performance of the spectral images over the random coded apertures.

Conference Presentation

Citation Download Citation

Xu Ma, Hao Zhang, Xiao Ma, Gonzalo R. Arce, Tingfa Xu, and Tianyi Mao "Snapshot compressive spectral imaging based on adaptive coded apertures", Proc. SPIE 10658, Compressive Sensing VII: From Diverse Modalities to Big Data Analytics, 1065803 (14 May 2018); https://doi.org/10.1117/12.2309809

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available