Spatial weighted fusion based on polarisation image

ABSTRACT

This paper uses the principles of polarisation to calculate the Stokes component of the polarisation image. It designs the spatial weighted fusion algorithm, focusing on the research and evaluation of the accuracy and time complexity of the spatial weighted fusion algorithm in the polarisation image fusion processing. The spatial weighted image fusion algorithm is used to fuse the polarisation degree image, the polarisation angle image, and the light intensity image. Finally, the algorithm function is realised through software programming to verify the effect and accuracy of the algorithm. Experimental results show that the spatial weighted fusion algorithm can keep the pixel value of the polarisation source image unchanged, avoid image distortion, artefacts and ringing effects algorithm is stable and efficient, with low time complexity.

KEYWORDS:

• Polarisation imaging
• image fusion
• stokes
• spatial weighting

Acknowledgments

The authors express grateful to Prof. Yi Wei-Ning and Prof. Liu Xiao for providing the equipment for the measurements and helping the experiment, and wish to thank Prof. Wu Jun and Dr. Deng Hong-ping for the valuable discussion and recommendation.

Data availability statement

The authors confirm that the data supporting the findings of this study are available within the article.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

(1) Open fund of The Key Laboratory of Polarizing imaging detection technology in Anhui province (2018-KFJJ-04); (2) Key Natural Science Research Projects of Anhui Universitities (KJ2019A0839); (3) Talent Research Fund of Hefei University (18-19RC39); (4) Major Projects of the Scientific Research Development Fund of Hefei University in 2020(20ZR01ZDA); (5) Anhui Provincial Development and Reform Commission 2020 New Energy Vehicle Industry Innovation Development Project ’Key System Research and Vehicle Development for Mass Production Oriented Highly Autonomous Driving’(wfg-cyh2020477)

Notes on contributors

Gang Liu

Gang Liu (1982-), male, from Tongling , Anhui, master, lecturer, graduated from Hefei University of Technology, his main research field is robot control and digital image processing; [email protected]

Jun-Feng Wang

Jun-Feng Wang (1985-), male, from Feidong, Anhui, PhD, lecturer, graduated from University of Science and Technology of China, his main research field is optical polarisation digital image processing; [email protected]

Yun-Zhi Wu

Yun-Zhi Wu (1982-), femal,from Anhui, PhD, her main research field is Polarization properties of light scattering of materials; [email protected]

Chunpeng Zhang

Chunpeng Zhang (1980-), male, from Xuzhou, Jiangsu, M.S, senior experimentalist, graduated from Hefei University of Technology, his main research field is measurement and control; [email protected]