@inproceedings{d89d2e7cc589431096b50d1e1baf5a8b,
title = "2D transform-domain Fourier filters for eliminating microsaccade noise in en face optical coherence tomography angiography",
abstract = "images. We propose to use 2D Fourier filters in different transform domains including Fourier, wavelet, and nonsubsampled contourlet domains to eliminate this kind of noise. We used image entropy and vessel density as the metrics to evaluate their performance on noise elimination, we found that filtering after the nonsubsampled contourlet transform (NSCT) was the best choice among these approaches. For vessel preservation, the wavelet-domain filtering has the advantage of keeping signal-to-noise ratio while the NSCT filtering can preserve structure similarity to the most extent.",
keywords = "Optical coherence tomography angiography, denoising., image postprocessing, ocular imaging",
author = "Jianlong Yang and Liyang Fang and Yan Hu and Yitian Zhao and Yalin Zheng and Jiang Liu",
note = "Publisher Copyright: {\textcopyright} 2019 SPIE.; Optical Coherence Imaging Techniques and Imaging in Scattering Media III 2019 ; Conference date: 25-06-2019 Through 27-06-2019",
year = "2019",
doi = "10.1117/12.2527041",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Maciej Wojtkowski and Boppart, {Stephen A.} and Wang-Yuhl Oh",
booktitle = "Optical Coherence Imaging Techniques and Imaging in Scattering Media III",
address = "United States",
}