14 February 2018 An OCT image denoising method based on fractional integral
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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.
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Minghui Chen, Minghui Chen, Xianfu Qin, Xianfu Qin, Jintao He, Jintao He, Wenyu Jia, Wenyu Jia, Gang Zheng, Gang Zheng, } "An OCT image denoising method based on fractional integral", Proc. SPIE 10483, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII, 104832V (14 February 2018); doi: 10.1117/12.2289384; https://doi.org/10.1117/12.2289384
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