An OCT image denoising method based on fractional integral

Minghui Chen; Xianfu Qin; Jintao He; Wenyu Jia; Gang Zheng

doi:10.1117/12.2289384

14 February 2018 An OCT image denoising method based on fractional integral

Minghui Chen, Xianfu Qin, Jintao He, Wenyu Jia, Gang Zheng

Proceedings Volume 10483, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII; 104832V (2018) https://doi.org/10.1117/12.2289384
Event: SPIE BiOS, 2018, San Francisco, California, United States

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.

Citation Download Citation

Minghui Chen, Xianfu Qin, Jintao He, Wenyu Jia, and 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); https://doi.org/10.1117/12.2289384

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