12 April 2010 Denoising of x-ray imagery with spatially varying estimates of noise variance
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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.
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S. P. Kozaitis, S. P. Kozaitis, } "Denoising of x-ray imagery with spatially varying estimates of noise variance", Proc. SPIE 7703, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VIII, 77030V (12 April 2010); doi: 10.1117/12.850791; https://doi.org/10.1117/12.850791
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