Locally optimized non-local means denoising for low-dose X-ray backscatter imagery.

Tracey, Brian H.
Miller, Eric L.
Wu, Yue.
Alvino, Christopher.
Schiefele, Markus.
Al-Kofahi, Omar.
2014.

While recent years have seen considerable progress in image denoising, the leading techniques have been developed for digital photographs or other images that can have very different characteristics than those encountered in X-ray applications. In particular here we examine X-ray backscatter (XBS) images collected by airport security systems, where images are piecewise smooth and edge information ... read more

Subjects
X-rays.
Tufts University. Department of Electrical and Computer Engineering.
Permanent URL
http://hdl.handle.net/10427/013338
Original publication
Tracey, Brian H., Eric L. Miller, Yue Wu, Christopher Alvino, Markus Schiefele, and Omar Al-Kofahi. "Locally Optimized Non-local Means Denoising for Low-dose X-ray Backscatter Imagery." Journal Of X-Ray Science And Technology 22, no. 5 (2014): 569-86. doi: 10.3233/XST-140446
ID: tufts:22784
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