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An OCT image denoising method based on fractional integral
Author(s): Minghui Chen; Xianfu Qin; Jintao He; Wenyu Jia; Gang Zheng
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Paper Abstract

Based on the analysis of the noise source in the optical coherence tomography (OCT) system, a fractional integral denoising algorithm is proposed to denoise the OCT image. The algorithm is simple and easy to implement, and the experiment is compared with the median filter and Wiener filter method. The results show that the algorithm can effectively preserve the important detail information in the OCT image while effectively removing the noise, so that the detail of the image is clear and the image quality can be improved, which indicates that the method can achieve the purpose of reducing the image noise.

Paper Details

Date Published: 14 February 2018
PDF: 7 pages
Proc. SPIE 10483, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII, 104832V (14 February 2018); doi: 10.1117/12.2289384
Show Author Affiliations
Minghui Chen, Univ. of Shanghai for Science and Technology (China)
Beckman Laser Institute (United States)
Xianfu Qin, Univ. of Shanghai for Science and Technology (China)
Jintao He, Univ. of Shanghai for Science and Technology (China)
Wenyu Jia, Univ. of Shanghai for Science and Technology (China)
Gang Zheng, Univ. of Shanghai for Science and Technology (China)


Published in SPIE Proceedings Vol. 10483:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII
Joseph A. Izatt; James G. Fujimoto; Valery V. Tuchin, Editor(s)

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