High fidelity image reconstruction of light passing through scattering medium based on convolutional neural network

Zhaoyang Tang; Chengchao Xiang; Qixin Liu; Yue Dai; Jiaqi He; Yingchun Ding

doi:10.1117/12.2603144

31 August 2021 High fidelity image reconstruction of light passing through scattering medium based on convolutional neural network

Zhaoyang Tang, Chengchao Xiang, Qixin Liu, Yue Dai, Jiaqi He, Yingchun Ding

Author Affiliations +

Proceedings Volume 11907, Sixteenth National Conference on Laser Technology and Optoelectronics; 119072J (2021) https://doi.org/10.1117/12.2603144
Event: Sixteenth National Conference on Laser Technology and Optoelectronics, 2021, Shanghai, China

Abstract

Optical imaging through scattering media such as ground glass, fog, biological tissues, etc. has always been a widely used and challenging task in the optical field. Compared with traditional imaging methods such as transmission matrix and optical phase conjugation, deep learning has shown great potential in this field because of its simple device and fast reconstruction speed. In this article, we developed an algorithm based on convolutional neural network to realize imaging through scattering media and applied this algorithm to recover complex images. The speckle images of the original images are obtained through a speckle generation program, and then the speckle images and the original images are input into the neural network in pairs for training. Finally, the reconstructed speckle images can be obtained by using the trained neural network. In the numerical simulation, we proposed two indicators, peak signal-to-noise ratio (PSNR) and structural similarity (SSIM), to evaluate the quality of reconstructed images. The results show that our method can restore highfidelity images. This new image reconstruction method provides new ideas for research in the fields of astronomy and biomedicine.

Citation Download Citation

Zhaoyang Tang, Chengchao Xiang, Qixin Liu, Yue Dai, Jiaqi He, and Yingchun Ding "High fidelity image reconstruction of light passing through scattering medium based on convolutional neural network", Proc. SPIE 11907, Sixteenth National Conference on Laser Technology and Optoelectronics, 119072J (31 August 2021); https://doi.org/10.1117/12.2603144

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available