Optics Express· 2020Q1· Review
Single-pixel imaging 12 years on: a review
- 629citations
- Q1SCImago
- 2020year
Short summary
Single-pixel cameras, which use a single detector with varying mask patterns to reconstruct images, have evolved significantly over the past 12 years, moving beyond traditional multi-pixel arrays.
AI-generated from the title and abstract; the full text is not read.
Key points
- Single-pixel cameras reconstruct images from a single detector using mask patterns, unlike traditional multi-pixel cameras.
- Development spans 12 years, incorporating hardware, mask design, and reconstruction algorithms.
- Techniques include compressed sensing and machine learning for image reconstruction.
- Applications include non-visible wavelength imaging and 3D depth resolution.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source. Optics Express, 2020 · DOI ↗
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Field: Acoustics and Ultrasonics
Acoustics and UltrasonicsPhysics and Astronomy