An OCT image denoising method based on fractional integral

摘要

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.