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.
Kozaitis, 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:10.1117/12.850791