Speckle attenuation in optical coherence tomography by curvelet shrinkage

We describe an algorithm based on shrinkage in the curvelet domain to attenuate speckles in optical coherence tomography (OCT) images. The algorithm exploits the curvelet transform's sparse representation of edge discontinuities that are common in OCT images and its ability to map signals and n...

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Bibliographic Details
Published inOptics letters Vol. 34; no. 10; p. 1516
Main Authors Jian, Zhongping, Yu, Zhaoxia, Yu, Lingfeng, Rao, Bin, Chen, Zhongping, Tromberg, Bruce J
Format Journal Article
LanguageEnglish
Published United States 15.05.2009
Subjects
Algorithms
Fourier Analysis
Image Processing, Computer-Assisted - methods
Tomography, Optical Coherence - methods
Tomography, Optical Coherence - standards
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Summary:We describe an algorithm based on shrinkage in the curvelet domain to attenuate speckles in optical coherence tomography (OCT) images. The algorithm exploits the curvelet transform's sparse representation of edge discontinuities that are common in OCT images and its ability to map signals and noise into different areas in the curvelet domain. The speckle attenuation is controlled by a single parameter that determines the threshold in the curvelet domain. Applying the algorithm to OCT images shows significant improvement of image quality.
ISSN:0146-9592
1539-4794
DOI:10.1364/OL.34.001516