Full-Color Computational Imaging with Single-Pixel Detectors Based on a 2D Discrete Cosine Transform

Abstract

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-color image is retrieved. This technique can retrieve an image from sub-Nyquist measurements, and the background noise is easily canceled to give excellent image quality. Moreover, the experimental setup is very simple.

7 pages,4 figures

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• Correlated imaging, quantum and classical
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• Computational Ghost Imaging

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• Efficient Fourier single-pixel imaging with Gaussian random sampling
• Design of optimal illumination patterns in single-pixel imaging using image dictionaries