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Journal of Biomedical Optics

Spiking cortical model–based nonlocal means method for speckle reduction in optical coherence tomography images
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Paper Abstract

Optical coherence tomography (OCT) images are usually degraded by significant speckle noise, which will strongly hamper their quantitative analysis. However, speckle noise reduction in OCT images is particularly challenging because of the difficulty in differentiating between noise and the information components of the speckle pattern. To address this problem, the spiking cortical model (SCM)-based nonlocal means method is presented. The proposed method explores self-similarities of OCT images based on rotation-invariant features of image patches extracted by SCM and then restores the speckled images by averaging the similar patches. This method can provide sufficient speckle reduction while preserving image details very well due to its effectiveness in finding reliable similar patches under high speckle noise contamination. When applied to the retinal OCT image, this method provides signal-to-noise ratio improvements of <16  dB with a small 5.4% loss of similarity.

Paper Details

Date Published: 11 June 2014
PDF: 4 pages
J. Biomed. Opt. 19(6) 066005 doi: 10.1117/1.JBO.19.6.066005
Published in: Journal of Biomedical Optics Volume 19, Issue 6
Show Author Affiliations
Xuming Zhang, Huazhong Univ. of Science and Technology (China)
Liu Li, Huazhong Univ. of Science and Technology (China)
Fei Zhu, Huazhong Univ. of Science and Technology (China)
Wenguang W. Hou, Huazhong Univ. of Science and Technology (China)
Xinjian Chen, Soochow Univ. (China)


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