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• W3098039037 abstract "Removing noise in computer tomography (CT) data for real-time 3D visualization is vital to improving the quality of the final display. However, the CT noise cannot be removed by straight averaging because the noise has a broadband spatial frequency that is overlapping with the interesting signal frequencies. To improve the display of structures and features contained in the data, we present spatially variant filtering that performs averaging of sub-regions around a central region. We compare our filter with four other similar spatially variant filters regarding entropy and processing time. The results demonstrate significant improvement of the visual quality with processing time still within the millisecond range." @default.
• W3098039037 created "2020-11-23" @default.
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• W3098039037 date "2019-07-01" @default.
• W3098039037 modified "2023-10-16" @default.
• W3098039037 title "Real-Time Local Noise Filter in 3-D Visualization of CT Data" @default.
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• W3098039037 doi "https://doi.org/10.1109/tns.2019.2893444" @default.
• W3098039037 hasPublicationYear "2019" @default.
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