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dc.contributor.authorKozaitis, Samuel P.
dc.date.accessioned2017-04-17T19:27:03Z
dc.date.available2017-04-17T19:27:03Z
dc.date.issued2010-04-05
dc.identifier.citationKozaitis, S. P. (2010). Denoising of x-ray imagery with spatially varying estimates of noise variance. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, 7703 doi:10.1117/12.850791en_US
dc.identifier.urihttp://hdl.handle.net/11141/1325
dc.description.abstractWe 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.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is made available in accordance with publishers policy. It may be subject to U.S. copyright law.en_US
dc.rights.urihttp://spie.org/publications/journals/guidelines-for-authors#Terms_of_Useen_US
dc.titleDenoising of x-ray imagery with spatially-varying estimates of noise varianceen_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.850791


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