Document Type

Conference Proceeding

Publication Title

Proceedings of SPIE - the International Society for Optical Engineering


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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