A self-synchronized high speed computational ghost imaging system: A leap towards dynamic capturing

Jinli Suo, Liheng Bian, Yudong Xiao, Yongjin Wang, Lei Zhang, Qionghai Dai*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

High quality computational ghost imaging needs to acquire a large number of correlated measurements between the to-be-imaged scene and different reference patterns, thus ultra-high speed data acquisition is of crucial importance in real applications. To raise the acquisition efficiency, this paper reports a high speed computational ghost imaging system using a 20 kHz spatial light modulator together with a 2 MHz photodiode. Technically, the synchronization between such high frequency illumination and bucket detector needs nanosecond trigger precision, so the development of synchronization module is quite challenging. To handle this problem, we propose a simple and effective computational self-synchronization scheme by building a general mathematical model and introducing a high precision synchronization technique. The resulted efficiency is around 14 times faster than state-of-the-arts, and takes an important step towards ghost imaging of dynamic scenes. Besides, the proposed scheme is a general approach with high flexibility for readily incorporating other illuminators and detectors.

Original languageEnglish
Pages (from-to)65-71
Number of pages7
JournalOptics and Laser Technology
Volume74
DOIs
Publication statusPublished - 10 Jun 2015
Externally publishedYes

Keywords

  • Ghost imaging of dynamic scenes
  • High speed computational ghost imaging
  • Self-synchronization

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