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Proceedings Paper

Denoising of x-ray imagery with spatially varying estimates of noise variance
Author(s): S. P. Kozaitis
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Paper Abstract

We described a way to use a block-matching 3-D denoising algorithm to reduce noise in x-ray imagery. We first filtered an image multiple times using different estimates of the noise variance. From a simple estimate of the denoised image, we then estimated the noise variance at each pixel of the image. Using this approach, we obtained improved results when compared to using a single value of estimate for the noise variance. Even a small number of quantization levels of the estimates of the noise showed improved results.

Paper Details

Date Published: 13 April 2010
PDF: 7 pages
Proc. SPIE 7703, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VIII, 77030V (13 April 2010); doi: 10.1117/12.850791
Show Author Affiliations
S. P. Kozaitis, Florida Institute of Technology (United States)


Published in SPIE Proceedings Vol. 7703:
Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VIII
Harold H. Szu; F. Jack Agee, Editor(s)

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