Coloured computational imaging with single-pixel detectors based on a 2D discrete cosine transform

We propose and demonstrate a computational imaging technique that uses structured illumination based on a two-dimensional discrete cosine transform to perform imaging with a single-pixel detector. A scene is illuminated by a projector with two sets of orthogonal patterns, then by applying an inverse...

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Bibliographic Details
Published inJournal of modern optics Vol. 64; no. 3; pp. 259 - 264
Main Authors Liu, Bao-Lei, Yang, Zhao-Hua, Liu, Xia, Wu, Ling-An
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 04.02.2017
Taylor & Francis Ltd
Subjects
Computation
Computational imaging
Detectors
Digital imaging
Discrete cosine transform
ghost imaging
Illumination
image detection systems
Image quality
Imaging
Inverse
Optics
Spectra
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Summary:We propose and demonstrate a computational imaging technique that uses structured illumination based on a two-dimensional discrete cosine transform to perform imaging with a single-pixel detector. A scene is illuminated by a projector with two sets of orthogonal patterns, then by applying an inverse cosine transform to the spectra obtained from the single-pixel detector a full-colour image is retrieved. This technique can retrieve an image from sub-Nyquist measurements, and the background noise is easily cancelled to give excellent image quality. Moreover, the experimental set-up is very simple.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:0950-0340
1362-3044
DOI:10.1080/09500340.2016.1229507