Object Imaging and Point-spread-function Retrieving through Scattering Media via Bispectrum Analysis Combined Phase-diversity

2019 ◽  
Author(s):  
Jie Cao ◽  
Yingbo Wang ◽  
Chengqiang Xu ◽  
Mingyuan Tang ◽  
Qun Hao
Keyword(s):  
Point Spread Function ◽  
Scattering Media ◽  
Point Spread ◽  
Phase Diversity ◽  
Spread Function ◽  
Object Imaging

scholarly journals Development of a beam propagation method to simulate the point spread function degradation in scattering media

2019 ◽  
Vol 44 (20) ◽  
pp. 4989 ◽  
Author(s):  
Xiaojun Cheng ◽  
Yunzhe Li ◽  
Jerome Mertz ◽  
Sava Sakadžić ◽  
Anna Devor ◽  
...  
Keyword(s):  
Point Spread Function ◽  
Beam Propagation Method ◽  
Beam Propagation ◽  
Scattering Media ◽  
Point Spread ◽  
Spread Function

scholarly journals Imaging through a thin scattering layer and jointly retrieving the point-spread-function using phase-diversity

2017 ◽  
Vol 25 (22) ◽  
pp. 27182 ◽  
Author(s):  
Tengfei Wu ◽  
Jonathan Dong ◽  
Xiaopeng Shao ◽  
Sylvain Gigan
Keyword(s):  
Point Spread Function ◽  
Scattering Layer ◽  
Point Spread ◽  
Phase Diversity ◽  
Spread Function

Imaging through Scattering Media with a Learning Based Prior

2020 ◽  
Vol 2020 (14) ◽  
pp. 306-1-306-6
Author(s):  
Florian Schiffers ◽  
Lionel Fiske ◽  
Pablo Ruiz ◽  
Aggelos K. Katsaggelos ◽  
Oliver Cossairt
Keyword(s):  
Optimization Problem ◽  
Autonomous Driving ◽  
Scattering Media ◽  
Photon Scattering ◽  
Point Spread ◽  
Spread Function ◽  
Radiative Transport Equation ◽  
Spatio Temporal ◽  
Transient Imaging

Imaging through scattering media finds applications in diverse fields from biomedicine to autonomous driving. However, interpreting the resulting images is difficult due to blur caused by the scattering of photons within the medium. Transient information, captured with fast temporal sensors, can be used to significantly improve the quality of images acquired in scattering conditions. Photon scattering, within a highly scattering media, is well modeled by the diffusion approximation of the Radiative Transport Equation (RTE). Its solution is easily derived which can be interpreted as a Spatio-Temporal Point Spread Function (STPSF). In this paper, we first discuss the properties of the ST-PSF and subsequently use this knowledge to simulate transient imaging through highly scattering media. We then propose a framework to invert the forward model, which assumes Poisson noise, to recover a noise-free, unblurred image by solving an optimization problem.

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