29 April 2005 An artifact-free structure-saving noise reduction using the correlation between two images for threshold determination in the wavelet domain
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Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005); doi: 10.1117/12.595863
Event: Medical Imaging, 2005, San Diego, California, United States
Abstract
A new method of noise reduction based on shrinkage in the wavelet domain has been created for the application in projection radiography. The method is based on comparing two similar or quasi-identical images of the same object. Using an appropriate measure of similarity, these images are compared with each other in order to produce the weighting matrices. The weighting factors for the wavelet coefficients are chosen to be proportional to the elements of the weighting matrices. One image of the pair is then reconstructed from the weighted wavelet coefficients. The effect of this kind of de-noising is a suppression of those structures in the image which don’t correlate with the structures in the other image of the pair. Normally the suppressed structures are quantum or scatter noise, while the correlated structures which are not affected at all, are the real anatomical structures.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Oleg Tischenko, Christoph Hoeschen, Egbert Buhr, "An artifact-free structure-saving noise reduction using the correlation between two images for threshold determination in the wavelet domain", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); doi: 10.1117/12.595863; https://doi.org/10.1117/12.595863
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KEYWORDS
Wavelets

Matrices

Image processing

Denoising

Wavelet transforms

X-rays

X-ray imaging

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