A Hybrid Denoising Algorithm for DoFP Polarization Image Sensors

Author(s):  
Abubakar Abubakar ◽  
Xiaojin Zhao ◽  
Maen Takruri ◽  
Eessa Bastaki ◽  
Amine Bermak
Author(s):  
Abubakar Abubakar ◽  
Xiaojin Zhao ◽  
Maen Takruri ◽  
Eesa Bastaki ◽  
Amine Bermak

2017 ◽  
Vol 25 (9) ◽  
pp. 10651 ◽  
Author(s):  
Ashfaq Ahmed ◽  
Xiaojin Zhao ◽  
Viktor Gruev ◽  
Junchao Zhang ◽  
Amine Bermak

Optica ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 280 ◽  
Author(s):  
Philip Camayd-Muñoz ◽  
Conner Ballew ◽  
Gregory Roberts ◽  
Andrei Faraon

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1713
Author(s):  
Hui Wang ◽  
Haofeng Hu ◽  
Xiaobo Li ◽  
Zijian Guan ◽  
Wanshan Zhu ◽  
...  

A demand for division of focal plane (DoFP) polarization image sensors grows rapidly as nanofabrication technologies become mature. The DoFP sensor can output real time data of polarization information. In this paper, a novel visualization method for angle of polarization (AoP) is proposed for DoFP polarization image sensors. The data characteristics of AoP are analyzed, and strategies for a visualization method are proposed which conforms to the characteristics of AoP data. According to these strategies, we propose a visualization method for AoP data based on three dimensional HSI color space. This method uses intensity and saturation to characterize the magnitude of the angle between the polarization direction and the horizontal direction wherein the hue indicates the deflection direction. It is shown by the numerical simulation that the noise in the AoP image can be suppressed by our visualization method. In addition, the real-world experiment results are consistent with the numerical simulation and verify that the AoP image obtained by our method can suppress the influence of characterization noise, and the image is simple and intuitive, which is advantageous to human vision. The proposed method can be directly used for the commercialized DoFP polarization image sensor to display real-time AoP data.


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