A New Idea of Fast Three-Dimensional Median Filtering for Despeckling of Optical Coherence Tomography Images

• Autorzy: Gocławski J. , Sekulska-Nalewajko J.

Identyfikatory

DOI

10.1515/ipc-2015-0037

• Języki publikacji: EN

Abstrakty

EN

Median filtering has been widely used in image processing for noise removal because it can significantly reduce the power of noise while limiting edge blurring. This filtering is still a challenging task in the case of three-dimensional images containing up to a billion of voxels, especially for large size filtering windows. The authors encountered the problem when applying median filter to speckle noise reduction in optical coherence tomography images acquired by the Spark OCT systems. In the paper a new approach to the GPU (Graphics Processing Unit) based median smoothing has been proposed, which uses two-step evaluation of local intensity histograms stored in the shared memory of a graphic device. The solution is able to output about 50 million voxels per second while processing the neighbourhood of 125 voxels by Quadro K6000 graphic card configured on the Kepler architecture.

Słowa kluczowe

EN

OCT; GPU algorithm; 3D images

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2015
• Tom: Vol. 20, no. 3
• Strony: 25--34
• Opis fizyczny: Bibliogr. 19 poz., rys., tab.

Twórcy

autor

Gocławski J.

• Lodz University of Technology, Institute of Applied Computer Science, Stefanowskiego 18/22, PL 90-924 Lodz, Poland

autor

Sekulska-Nalewajko J.

• Lodz University of Technology, Institute of Applied Computer Science, Stefanowskiego 18/22, PL 90-924 Lodz, Poland

Bibliografia

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