A device and method for ultra-high-speed real-time color computing ghost imaging

Abstract

The invention discloses a device and method for ultra-high-speed real-time color computing ghost imaging, which includes a random speckle emission source, a lens, a point detector and a computer, wherein the object to be imaged is located between the random speckle emission source and the lens, and the random The light emitted by the speckle emission source is incident on the photosensitive surface of the point detector through the object to be imaged and the lens, and the control terminal of the random speckle emission source and the output end of the point detector are connected to the computer; the random speckle emission source It is an LED array, and the device and method realize the imaging of a high-speed moving target object, and the imaging distance range is large, the imaging resolution is high, the anti-disturbance ability is strong, and the imaging speed is fast.

Description

technical field [0001] The invention belongs to the field of target imaging detection, and relates to an ultra-high-speed real-time color computing ghost imaging device and method. Background technique [0002] The development of ghost imaging has gone through stages such as entangled two-photon ghost imaging, pseudothermal ghost imaging, true thermal ghost imaging, reflected light ghost imaging and computational ghost imaging. In 1995, Shi Yanhua's group at the University of Maryland first experimentally realized ghost imaging based on entangled two-photon pairs. In 2006, Scarcelli et al. used a classical pseudothermal light source to realize lensless thermal optical ghost imaging. Subsequently, Wu Ling'an's group used rubidium hollow cathode electron tubes as the light source to realize true thermal optical ghost imaging. Computational ghost imaging can realize super-resolution imaging and lens-free imaging, which has advantages that traditional imaging does not have. Ho...

AI Technical Summary

Problems solved by technology

However, computational ghost imaging requires a large number of samples for correlation operations, so the imaging speed of traditional computational ghost imaging is relatively slow, and the final imaging frame rate is less than 10 Hz. Limited by the slow imaging speed, no one has performed ultra-high-speed computational ghost imaging before. Imaging Research

Images