Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81348
Title: Artificial intelligence-assisted light control and computational imaging through scattering media
Authors: Cheng, SF 
Li, HH 
Luo, YQ
Zheng, YJ
Lai, PX 
Keywords: Optical scattering
Deep learning
Wavefront shaping
Adaptive optics
Computational imaging
Issue Date: 2019
Publisher: World Scientific
Source: Journal of innovative optical health sciences, July 2019, v. 12, no. 4, 1930006, p. 1-14 How to cite?
Journal: Journal of innovative optical health sciences 
Abstract: Coherent optical control within or through scattering media via wavefront shaping has seen broad applications since its invention around 2007. Wavefront shaping is aimed at overcoming the strong scattering, featured by random interference, namely speckle patterns. This randomness occurs due to the refractive index inhomogeneity in complex media like biological tissue or the modal dispersion in multimode fiber, yet this randomness is actually deterministic and potentially can be time reversal or precompensated. Various wavefront shaping approaches, such as optical phase conjugation, iterative optimization, and transmission matrix measurement, have been developed to generate tight and intense optical delivery or high-resolution image of an optical object behind or within a scattering medium. The performance of these modulations, however, is far from satisfaction. Most recently, artificial intelligence has brought new inspirations to this field, providing exciting hopes to tackle the challenges by mapping the input and output optical patterns and building a neuron network that inherently links them. In this paper, we survey the developments to date on this topic and briefly discuss our views on how to harness machine learning (deep learning in particular) for further advancements in the field.
URI: http://hdl.handle.net/10397/81348
ISSN: 1793-5458
DOI: 10.1142/S1793545819300064
Rights: © The Author(s)
This is an Open Access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution 4.0 (CC BY) License which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
The following publication Cheng, S. F., Li, H. H., Luo, Y. Q., Zheng, Y. J., & Lai, P. X. (2019). Artificial intelligence-assisted light control and computational imaging through scattering media. Journal of Innovative Optical Health Sciences, 12(4), 1930006, 1-14 is available at https://dx.doi.org/10.1142/S1793545819300064
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Cheng_Artificial_Intelligence-assisted_Light.pdf828.77 kBAdobe PDFView/Open
Access
View full-text via PolyU eLinks SFX Query
Show full item record
PIRA download icon_1.1View/Download Contents

SCOPUSTM   
Citations

1
Citations as of Dec 4, 2019

WEB OF SCIENCETM
Citations

1
Citations as of Dec 2, 2019

Page view(s)

51
Citations as of Dec 4, 2019

Download(s)

40
Citations as of Dec 4, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.