PERFORMANCE OF K-SVD ALGORITHM IN DIGITAL OPTICAL COHERENCE TOMOGRAPHY

Image processing

Optical Coherence Tomography (OCT) is a non-invasive imaging technique for micron-scale biological media with the most notable application in the field of ophthalmology. An expansion of the use of the OCT in question is proposed in this article by inserting a dictionary learning algorithm which is none other than the K-SVD. The objective of this article is therefore the improvement by different aspects of the OCT's performance thanks to the K-SVD algorithm. To do this, we have integrated the K-SVD algorithm in the OCT giving so many solutions to the previous problems given the simulations that follow illustrating the performance of this invention

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