Statistics – Applications
Scientific paper
Feb 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011spie.7932e..17w&link_type=abstract
Emerging Digital Micromirror Device Based Systems and Applications III. Edited by Douglass, Michael R.; Oden, Patrick I. Proc
Statistics
Applications
Scientific paper
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.
Arce Gonzalo R.
Mirza Iftekhar O.
Prather Dennis W.
Wu Yuehao
Ye Peng
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