Research on Deep Learning Denoising Method in an Ultra-Fast All-Optical Solid-State Framing Camera

Author(s):  
Jian Zhou ◽  
Zhuping Wang ◽  
Tao Wang ◽  
Qing Yang ◽  
Keyao Wen ◽  
...  
2017 ◽  
Vol 25 (8) ◽  
pp. 8721 ◽  
Author(s):  
Guilong Gao ◽  
Kai He ◽  
Jinshou Tian ◽  
Chunmin Zhang ◽  
Jun Zhang ◽  
...  

2021 ◽  
Vol 39 (8) ◽  
pp. 2583-2593
Author(s):  
Maoning Wang ◽  
Lin Deng ◽  
Yuzhong Zhong ◽  
Jianwei Zhang ◽  
Fei Peng

2014 ◽  
Vol 26 (22) ◽  
pp. 6439-6447 ◽  
Author(s):  
Rebecca L. Gieseking ◽  
Sukrit Mukhopadhyay ◽  
Chad Risko ◽  
Seth R. Marder ◽  
Jean-Luc Brédas

2013 ◽  
Vol 710 ◽  
pp. 269-272
Author(s):  
Guo Ya Xu ◽  
Jun Hua He ◽  
Fan Sen ◽  
Yuan Tao Zhu

Design an all-optical solid-state scanner chip, which can realize high speed light deflection in a very small space, instead of electron beam deflection scan image converter tube and opto-mechanical scanner, cancel the complicated mechanical components, use the all-optical scanning to realize the super fast phenomenon observation. The beam deflection system is based on semiconductor optical waveguide core layer carrier induced refractive index change effect to realize, its development work is mainly divided into semiconductor optical waveguide and saw prisms two parts. And through the experiment, we measured deflection angle of the scanner chip to 1053nm signal light.


2018 ◽  
Vol 232 ◽  
pp. 03025
Author(s):  
Baozhong Liu ◽  
Jianbin Liu

Aimed at the problem that the traditional image denoising algorithm is not effective in noise reduction, a new image denoising method is proposed. The method combines deep learning and non-local mean filtering algorithms to denoise the noisy image to obtain better noise reduction effect. By comparing with Gaussian filtering algorithm, median filtering algorithm, bilateral filtering algorithm and early non-local mean filtering algorithm, the noise reduction effect of the new algorithm is better than the traditional method and the peak signal to noise ratio is compared with the early non-local mean algorithm. The performance is better.


Entropy ◽  
2020 ◽  
Vol 22 (2) ◽  
pp. 160 ◽  
Author(s):  
David Ziemkiewicz ◽  
Sylwia Zielińska - Raczyńska

By mapping photons into the sample of cuprous oxide with Rydberg excitons, it is possible to obtain a significant optical phase shift due to third-order cross-Kerr nonlinearities realized under the conditions of electromagnetically induced transparency. The optimum conditions for observation of the phase shift over π in Rydberg excitons media are examined. A discussion of the application of the cross-phase modulations in the field of all-optical quantum information processing in solid-state systems is presented.


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