Imaging through diffuse media using multi-mode vortex beams and deep learning

Abstract

Optical imaging through diffuse media is a challenging issue and has attracted applications in many fields such as biomedical imaging, non-destructive testing, and computer-assisted surgery. However, light interaction with diffuse media leads to multiple scattering of the photons in the angular and spatial domain, severely degrading the image reconstruction process. In this article, a novel method to image through diffuse media using multiple modes of vortex beams and a new deep learning network named “LGDiffNet” is derived. A proof-of-concept numerical simulation is conducted using this method, and the results are experimentally verified. In this technique, the multiple modes of Gaussian and Laguerre-Gaussian beams illuminate the displayed digits dataset number, and the beams are then propagated through the diffuser before being captured on the beam profiler. Furthermore, we investigated whether imaging through diffuse media using multiple modes of vortex beams instead of Gaussian beams improves the imaging system's imaging capability and enhances the network's reconstruction ability. Our results show that illuminating the diffuser using vortex beams and employing the “LGDiffNet” network provides enhanced image reconstruction compared to existing modalities. An enhancement of ~ 1 dB, in terms of PSNR, is achieved using this method when a highly scattering diffuser of grit 220 and width 2 mm (7.11 times the mean free path) is used. No additional optimizations or reference beams were used in the imaging system, revealing the robustness of the “LGDiffNet” network and the adaptability of the imaging system for practical applications in medical imaging.

Supercontinuum Induced by Filamentation of Bessel-Gaussian and Laguerre-Gaussian Beams in Water

“…These special properties make vortex beams widely applied in optical tweezers [7][8][9][10][11][12][13], optical imaging [14][15][16], information transmission and cryptography [17][18][19][20][21][22] and microprocessing [23][24][25][26] and other fields. For example, Bessel beams have propagation invariance compared with Gaussian ones; that is, they have the ability to maintain their shape and peak power at the extended focal region (Bessel region), which makes them have promising application prospects in many fields, especially for micro-processing.…”

Advancing 3D shaping of vectorial light by counter-propagation of self-healing scalar and vector Bessel–Gaussian beams

“…In contrast to the previous field an additional oscillation of intensity occurs in longitudinal direction. This behavior is reflected in equation (8). The last term only interferes with the horizontal parts of the first two circularly polarized terms.…”

“…light shaped in its amplitude, phase, and/or polarization [3][4][5]. Its attraction arises from its fundamental significance [6,7], and its broad range of applications in the fields of imaging [8][9][10], optical trapping and sorting [5,11], material manipulation and processing [12,13] and data communication [14].…”

The transport properties of vortex pair with opposite sign and application to optical field focusing

“…Vortex beams have been widely studied in the fields of communications [1], imaging [2], optical tweezers [3], and quantum information [4] because they carry orbital angular momentum. The magnitude of orbital angular momentum as a physical quantity is numerically equivalent to the topological charge of the vortex beam, and the value of the topological charge can be easily obtained directly from the optical field phase.…”