Volume 10, Issue 2
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Dither Removal
Mathematica is ideal for explaining the design of
seemingly complex mathematical methods. In this article we explain the
use of the 2D Fourier transform to remove unwanted dithering artifacts
from images. All steps are visualized, so the reader can get a good idea
of what the Fourier transform of an image looks like, the location of the
origin, the artifacts and their extent, and how geometric reasoning works
in the Fourier domain. The method leads to a marked clean up of images
deteriorated by dither.
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About the Author
Bart M. ter Haar Romeny received an M.S. in applied physics from Delft University and a Ph.D. in 1983 from Utrecht University, The Netherlands. Ter Haar Romeny served from 1983 to 2001 as principal physicist and associate professor in the Department of Radiology and Image Sciences Institute at Utrecht University. He is now a full professor in the Department of Biomedical Engineering at Eindhoven University of Technology. His interests are medical image analysis and multiscale computer vision, including its mathematical foundations and clinical applications. A focus on the human visual system gives biological inspiration for mathematics. He is the author of a popular, interactive tutorial book on perceptually inspired multiscale image analysis written in Mathematica. Bart M. ter Haar Romeny
Eindhoven University of Technology Department of Biomedical Engineering Biomedical Image Analysis Den Dolech 2, WH2.106 NL-5600 MB Eindhoven, The Netherlands B.M.terHaarRomeny@tue.nl www.bmi2.bmt.tue.nl/image-analysis/ People/BRomeny |
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