Gradient thresholding algorithm for adaptive colored coded aperture design in compressive spectral imaging
Date:
Recommended citation: N. Diaz, J. Bacca, and H. Arguello. “Gradient thresholding algorithm for adaptive colored coded aperture design in compressive spectral imaging,” in Imaging and Applied Optics 2017 (3D, AIO, COSI, IS, MATH, pcAOP), OSA Technical Digest (online) (Optica Publishing Group, 2017), paper JTu5A.4. [Paper], [Link], [Poster].
This paper presents a gradient thresholding algorithm (GTA) to adaptively compute the subsequent colored coded apertures to be used in a compressive spectral imaging sensor yielding to a reconstructed spectral datacube with high image quality.
Cite
@inproceedings{Diaz:17,
author = {Nelson Diaz and Jorge Bacca and Henry Arguello},
booktitle = {Imaging and Applied Optics 2017 (3D, AIO, COSI, IS, MATH, pcAOP)},
journal = {Imaging and Applied Optics 2017 (3D, AIO, COSI, IS, MATH, pcAOP)},
keywords = {Apertures; Image quality; Image reconstruction; Image sensors; Reconstruction algorithms; Spectral imaging},
pages = {JTu5A.4},
publisher = {Optica Publishing Group},
title = {Gradient thresholding algorithm for adaptive colored coded aperture design in compressive spectral imaging},
year = {2017},
url = {http://opg.optica.org/abstract.cfm?URI=3D-2017-JTu5A.4},
doi = {10.1364/3D.2017.JTu5A.4},
abstract = {This paper presents a gradient thresholding algorithm (GTA) to adaptively compute the subsequent colored coded apertures to be used in a compressive spectral imaging sensor yielding to a reconstructed spectral datacube with high image quality.},
}