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11 February 2011 Development of a DMD-based compressive sampling hyperspectral imaging (CS-HSI) system
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Abstract
We report the development of a Digital-Micromirror-Device (DMD)-based Compressive Sampling Hyperspectral Imaging (CS-HSI) system. A DMD is used to implement CS measurement patterns, which modulate the intensity of optical images. The 3-dimensional (3-D) spatial/spectral data-cube of the original optical image is reconstructed from the CS measurements by solving a minimization problem. Two different solvers for the minimization problem were examined, including the GPSR (Gradient Projection for Sparse Reconstruction) and the TwIST (Two-step Iterative Shrinkage/Thresholding) methods. The performances of these two methods were tested and compared in terms of the image-reconstruction quality and the computer run-time. The image-formation process of the DMD-based spectral imaging system was analyzed using a Zemax model, based on which, an experimental prototype was built. We also present experimental results obtained from the prototype system.
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Yuehao Wu, Iftekhar O. Mirza, Peng Ye, Gonzalo R. Arce, and Dennis W. Prather "Development of a DMD-based compressive sampling hyperspectral imaging (CS-HSI) system", Proc. SPIE 7932, Emerging Digital Micromirror Device Based Systems and Applications III, 79320I (11 February 2011); https://doi.org/10.1117/12.874069
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