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Proceedings Paper

An FFT Method To Optimize The Removal Of Coherent Noise In Small And Large Images
Author(s): J.Rainer Kramm; H.Uwe Keller
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Paper Abstract

Three parameters (amplitude, frequency, and phase) describe the behaviour of a coherent noise contribution to an image. Therefore, this noise can be removed yielding a significant improvement of the image quality. Usually FFT (Fast Fourier Transform) methods are used to determine these parameters. For small images the results can be disappointing. If the image size is not a multiple of the dominating noise wavelength then the energy of the noise will be distributed over additional Frequency locations. A technique is described that improves the accuracy of the noise reduction by successive adjustments of the size of the image array to integer multiples of the actual wavenumbers. Prefiltering routines are applied to the images in both the spatial and the frequency domains to optimize the conditions for a non-interactive coherent noise removal. The efficiency of this method is demonstrated on images of comet Halley taken by the Halley Multicolour Camera on board ESA's spacecraft GIOTTO.

Paper Details

Date Published: 2 March 1989
PDF: 5 pages
Proc. SPIE 1027, Image Processing II, (2 March 1989); doi: 10.1117/12.950278
Show Author Affiliations
J.Rainer Kramm, Max-Planck-Institut fur Aeronomie (FRG)
H.Uwe Keller, Max-Planck-Institut fur Aeronomie (FRG)


Published in SPIE Proceedings Vol. 1027:
Image Processing II
Peter J.S. Hutzler; Andre J. Oosterlinck, Editor(s)

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