An OCT image denoising method based on fractional integral

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.

[1]  Jichai Jeong,et al.  Effective speckle noise suppression in optical coherence tomography images using nonlocal means denoising filter with double Gaussian anisotropic kernels , 2015 .

[2]  Yu Gan,et al.  Phase-noise analysis of swept-source optical coherence tomography systems. , 2017, Optics letters.

[3]  Jitao Sun,et al.  Pixel-based speckle adjustment for noise reduction in Fourier-domain OCT images. , 2017, Biomedical optics express.

[4]  Chandan Singh,et al.  A hybrid algorithm for speckle noise reduction of ultrasound images , 2017, Comput. Methods Programs Biomed..

[5]  Xin Yuan,et al.  Noise adaptive wavelet thresholding for speckle noise removal in optical coherence tomography. , 2017, Biomedical optics express.

[6]  Xiaodong Wu,et al.  Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images , 2009, IEEE Transactions on Medical Imaging.

[7]  Margarita Rivero,et al.  Fractional Order Continuity and Some Properties about Integrability and Differentiability of Real Functions , 1999 .

[8]  Aleksandra Pizurica,et al.  A versatile wavelet domain noise filtration technique for medical imaging , 2003, IEEE Transactions on Medical Imaging.

[9]  Ahmadreza Baghaie,et al.  Application of Independent Component Analysis Techniques in Speckle Noise Reduction of Retinal OCT Images. , 2016, Optik.

[10]  Kostadinka Bizheva,et al.  Interval type-II fuzzy anisotropic diffusion algorithm for speckle noise reduction in optical coherence tomography images. , 2009, Optics express.

[11]  Hongming Zhang,et al.  Speckle noise reduction algorithm with total variation regularization in optical coherence tomography. , 2015, Optics express.

[12]  K. Miller,et al.  An Introduction to the Fractional Calculus and Fractional Differential Equations , 1993 .