Single-pixel imaging 12 years on: a review.

By Graham M. Gibson, Steven D. Johnson, Miles J. Padgett. Optics Express, 2020

430 citations recorded by the source corpus.

Modern cameras typically use an array of millions of detector pixels to capture images. By contrast, single-pixel cameras use a sequence of mask patterns to filter the scene along with the corresponding measurements of the transmitted intensity which is recorded using a single-pixel detector. This review considers the development of single-pixel cameras from the seminal work of Duarte et al. up to the present state of the art. We cover the variety of hardware configurations, design of mask patterns and the associated reconstruction algorithms, many of which relate to the field of compressed sensing and, more recently, machine learning. Overall, single-pixel cameras lend themselves to imaging at non-visible wavelengths and with precise timing or depth resolution. We discuss the suitability of single-pixel cameras for different application areas, including infrared imaging and 3D situation awareness for autonomous vehicles.

Subfields: Acoustics and Ultrasonics, Computer Vision and Pattern Recognition, Instrumentation

View Paper: https://www.semanticscholar.org/paper/4bc343d5cd7cc2669bf03c85e8b94b0cc6539700

How researchers see this paper

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In Acoustics and Ultrasonics

1. Guohai Situ
2. Wenlin Gong
3. Shensheng Han
4. Mingliang Chen

In Computer Vision and Pattern Recognition

1. Fei Wang
2. Guohai Situ
3. Mingliang Chen

Citations in the corpus

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