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Journal of Healthcare Engineering
Volume 2018 (2018), Article ID 7329548, 7 pages
Research Article

Efficient OCT Image Enhancement Based on Collaborative Shock Filtering

1Department of Ophthalmology, Qilu Children’s Hospital of Shandong University, Jinan 250022, China
2Department of Radiology, Yidu Central Hospital of Weifang, Qingzhou 262500, China
3Department of Ophthalmology, Shandong Provincial Hospital, Jinan 250021, China
4School of Computer Science and Technology, Shandong University, Jinan 250101, China

Correspondence should be addressed to Guoying Mu

Received 5 May 2017; Accepted 14 August 2017; Published 1 February 2018

Academic Editor: Chengpo Mu

Copyright © 2018 Guohua Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Efficient enhancement of noisy optical coherence tomography (OCT) images is a key task for interpreting them correctly. In this paper, to better enhance details and layered structures of a human retina image, we propose a collaborative shock filtering for OCT image denoising and enhancement. Noisy OCT image is first denoised by a collaborative filtering method with new similarity measure, and then the denoised image is sharpened by a shock-type filtering for edge and detail enhancement. For dim OCT images, in order to improve image contrast for the detection of tiny lesions, a gamma transformation is first used to enhance the images within proper gray levels. The proposed method integrating image smoothing and sharpening simultaneously obtains better visual results in experiments.