Abstract

Single-pixel cameras have been successfully used in different imaging applications in the last years. One of the key elements affecting the quality of these cameras is the photodetector. Here, we develop a numerical model of a single-pixel camera, which takes into account not only the characteristics of the incident light but also the physical properties of the detector. In particular, our model considers the photocurrent, the dark current, the photocurrent shot noise, the dark-current shot noise, and the Johnson–Nyquist (thermal) noise of the photodiode used as a light detector. The model establishes a clear relationship between the electric signal and the quality of the final image. This allows us to perform a systematic study of the quality of the image obtained with single-pixel cameras in different contexts. In particular, we study the signal-to-noise ratio as a function of the optical power of the incident light, the wavelength, and the photodiode temperature. The results of the model are compared with those obtained experimentally with a single-pixel camera.

© 2018 Optical Society of America

Improving the signal-to-noise ratio of single-pixel imaging using digital microscanning

Ming-Jie Sun, Matthew P. Edgar, David B. Phillips, Graham M. Gibson, and Miles J. Padgett
Opt. Express 24(10) 10476-10485 (2016)

Demonstration of a cost-effective single-pixel UV camera for flame chemiluminescence imaging

Jiaqi Zhang, Qian Wang, Jinghang Dai, and Weiwei Cai
Appl. Opt. 58(19) 5248-5256 (2019)

Hyperspectral imaging system based on a single-pixel camera design for detecting differences in tissue properties

Joseph Peller, Faramarz Farahi, and Susan R. Trammell
Appl. Opt. 57(27) 7651-7658 (2018)

Projector-defocusing rectification for Fourier single-pixel imaging

Bingjie Xu, Hongzhi Jiang, Huijie Zhao, Xudong Li, and Shuguang Zhu
Opt. Express 26(4) 5005-5017 (2018)

Extended-field coverage hyperspectral camera based on a single-pixel technique

Senlin Jin, Wangwei Hui, Bo Liu, Cuifeng Ying, Dongqi Liu, Qing Ye, Wenyuan Zhou, and Jianguo Tian
Appl. Opt. 55(18) 4808-4813 (2016)