Abstract

Minimally invasive imaging using weak illumination is required in the biomedical field. Computational ghost imaging (CGI) achieves imaging under illumination. However, CGI requires a large number of measurements to obtain an image. The number of measurements increases as illumination weakens. In this paper, decreasing the number of measurements of CGI with designed low spatial frequency masks is proposed. The proposed method allows us to image an object with a smaller number of measurements than with the conventional method. Numerical simulations and experiments confirm the feasibility of the proposed method.

© 2018 Optical Society of America

Transport-of-intensity computational ghost imaging

Koshi Komuro, Yuya Yamazaki, and Takanori Nomura
Appl. Opt. 57(16) 4451-4456 (2018)

Improved edge detection in computational ghost imaging by introducing orbital angular momentum

Sajjad Rajabi Ghaleh, Sohrab Ahmadi-Kandjani, Reza Kheradmand, and Babak Olyaeefar
Appl. Opt. 57(32) 9609-9614 (2018)

Noise reduction in computational ghost imaging by interpolated monitoring

Zhaohua Yang, Yuzhe Sun, Shaofan Qu, Yuanjin Yu, Ruitao Yan, Ai-Xin Zhang, and Ling-An Wu
Appl. Opt. 57(21) 6097-6101 (2018)

Optimized sinusoidal patterns for high-performance computational ghost imaging

Wangtao Yu, Dekui Li, Kai Guo, Zhiping Yin, and Zhongyi Guo
Appl. Opt. 62(7) 1738-1744 (2023)

High frame-rate computational ghost imaging system using an optical fiber phased array and a low-pixel APD array

Chunbo Liu, Jingqiu Chen, Jiaxin Liu, and Xiang’e Han
Opt. Express 26(8) 10048-10064 (2018)