High-resolution computational ghost imaging and ghost diffraction through turbulence via a beam-shaping method

Abstract

Imaging through atmospheric turbulence is a topic with a long history and grand challenges still exist in the remote sensing and astro observation fields. In this letter, we try to propose a simple scheme to improve the resolution of imaging through turbulence based on the computational ghost imaging (CGI) and computational ghost diffraction (CGD) setup via the laser beam shaping techniques. A unified theory of CGI and CGD through turbulence with the multi-Gaussian shaped incoherent source is developed, and numerical examples are given to see clearly the effects of the system parameters to CGI and CGD. Our results show that the atmospheric effect to the CGI and CGD system is closely related to the propagation distance between the source and the object. In addition, by properly increasing the beam order of the multi-Gaussian source, we can improve the resolution of CGI and CGD through turbulence relative to the commonly used Gaussian source. Therefore our results may find applications in remote sensing and astro observation.

Long-distance ghost imaging with incoherent four-petal Gaussian sources in atmospheric turbulence

“…Atmospheric turbulence is a serious problem in real-world engineering and has a significant impact on the quality of images in the fields of remote sensing and astronomical observation [10,11]. Over the past few years, the properties of GI through atmospheric turbulence have been extensively investigated both theoretically and experimentally [12][13][14][15][16][17][18]. In 2009, Cheng first studied the GI through turbulent * Author to whom any correspondence should be addressed.…”

Lensless ghost imaging with hollow-Gaussian modulated incoherent sources in atmospheric turbulence

“…As we all know, the turbulent atmosphere is an important factor in the practical imaging process. Over the past few years, the properties of GI through atmospheric turbulence has been widely investigated theoretically and experimentally [18][19][20][21][22][23][24]. The results showed that imaging quality can be degraded by the turbulence [18,20].…”

“…The results showed that imaging quality can be degraded by the turbulence [18,20]. In recent years, source-shaping techniques have been presented to improve imaging quality in the GI [22][23][24][25][26]. Luo et al demonstrated that the shaped cosh-Gaussian incoherent source and multi-Gaussian incoherent source can improve the quality of GI under atmospheric turbulence [22,24].…”

“…In recent years, source-shaping techniques have been presented to improve imaging quality in the GI [22][23][24][25][26]. Luo et al demonstrated that the shaped cosh-Gaussian incoherent source and multi-Gaussian incoherent source can improve the quality of GI under atmospheric turbulence [22,24]. In fact, the central intensity will be depressed in the source plane by increasing the modulation parameters of the cosh-Gaussian source [25], which is not good for the imaging process.…”

Ghost Imaging Based on Deep Learning

“…Ghost imaging (GI) is a relatively new imaging method compared with conventional imaging methods. Since the first GI experiment conducted by Pittman and Y.H.Shih in 1995 1 , ghost imaging has made great progress and extended into many related fields 2 – 16 . Although GI shares a similar imaging scheme with single-pixel imaging (SPI), their studies were conducted separately in computer science and optics 17 .…”