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Proceedings Paper

Two-dimensional noise reduction in optical coherence tomography based on the shearlet transform
Author(s): Xiaoming Liu; Zhou Yang; Jia Wang; Zhigang Zeng; Zuoyong Li
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Paper Abstract

Image denoising is a very important step in image processing. In recent years, a lot of image denoising algorithms have been proposed, several of them are transform domain based methods, such as wavelet, contourlet, and shearlet. Shearlet is a new type of multiscale geometric analysis tool, which can obtain a sparse representation of the image and produce the optimal approximation. The transform generates shearlet functions with different features by scaling, shearing, and translation of the basic functions. In this paper, we introduced shearlet transformation into optical coherence tomography images to reduce noise, and proposed a multiscale, directional adapted speckle reduction method. Experiment results showed the effectiveness of the proposed method.

Paper Details

Date Published: 29 August 2016
PDF: 5 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100331U (29 August 2016); doi: 10.1117/12.2244630
Show Author Affiliations
Xiaoming Liu, Huazhong Univ. of Science and Technology (China)
Key Lab. of Image Processing and Intelligent Control of Education Ministry of China (China)
Wuhan Univ. of Science and Technology (China)
Zhou Yang, Wuhan Univ. of Science and Technology (China)
Hubei Province Key Lab. of Intelligent Information Processing and Real-time Industrial System (China)
Jia Wang, Wuhan Univ. of Science and Technology (China)
Hubei Province Key Lab. of Intelligent Information Processing and Real-time Industrial System (China)
Zhigang Zeng, Huazhong Univ. of Science and Technology (China)
Key Lab. of Image Processing and Intelligent Control of Education Ministry of China (China)
Zuoyong Li, Minjiang Univ. (China)
Fujian Provincial Key Lab. of Information Processing and Intelligent Control (China)


Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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