Acta Optica Sinica, Volume. 38, Issue 8, 0811004(2018)
Speckle Noise Reduction in Fourier Domain Polarization-Sensitive Coherence Tomography by Split-Spectrum
Speckle noise is one of the main limiting factors for the image quality of Fourier domain polarization-sensitive optical coherence tomography (FD-PS-OCT). It reduces image contrast and makes tissue boundaries blurred. In order to improve the image quality, a split-spectrum method for speckle noise reduction is proposed. The method splits FD-PS-OCT interference spectrum into several narrower spectrum. Then a filtering window function is performed on every individual narrower spectrum. After the traditional FD-PS-OCT data processing, the several individual spectrums can be averaged to suppress speckle noise. Simulations and experiments show that the proposed method can reduce speckle noise effectively and improve the image quality.
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Yan Chen, Zhongliang Li, Nan Nan, Yang Bu, Xuan Wang, Liuhua Pan, Xiangzhao Wang. Speckle Noise Reduction in Fourier Domain Polarization-Sensitive Coherence Tomography by Split-Spectrum[J]. Acta Optica Sinica, 2018, 38(8): 0811004
Category: Imaging Systems
Received: Jan. 25, 2018
Accepted: Apr. 9, 2018
Published Online: Sep. 6, 2018
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