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利用空间自适应小波滤波器减少光学相干断层扫描图像中的散斑。

Speckle reduction in optical coherence tomography images by use of a spatially adaptive wavelet filter.

作者信息

Adler Desmond C, Ko Tony H, Fujimoto James G

机构信息

Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.

出版信息

Opt Lett. 2004 Dec 15;29(24):2878-80. doi: 10.1364/ol.29.002878.

Abstract

A spatially adaptive two-dimensional wavelet filter is used to reduce speckle noise in time-domain and Fourier-domain optical coherence tomography (OCT) images. Edges can be separated from discontinuities that are due to noise, and noise power can be attenuated in the wavelet domain without significantly compromising image sharpness. A single parameter controls the degree of noise reduction. When this filter is applied to ophthalmic OCT images, signal-to-noise ratio improvements of >7 dB are attained, with a sharpness reduction of <3%.

摘要

一种空间自适应二维小波滤波器用于减少时域和傅里叶域光学相干断层扫描(OCT)图像中的散斑噪声。边缘可以与由噪声引起的不连续性区分开来,并且可以在小波域中衰减噪声功率,而不会显著降低图像清晰度。单个参数控制降噪程度。当将此滤波器应用于眼科OCT图像时,信噪比提高>7 dB,清晰度降低<3%。

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