What is it about?
We use a total variation based denoising model for X-ray images. Our adaptive total variation method removes quantum noise from X-ray images. We use edge indicator measure along with edge preserving total variation to remove noise without losing important edge information in the X-ray images
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Why is it important?
Suppressing noise is without degrading the images is an important step in medical image analysis. In this work, we use an adaptive total variation regularization method for removing quantum noise from X-ray images. This method can be used as a preprocessing step for downstream computer-aided-diagnosis (CAD) systems that utilize X-rays of the patients.
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This page is a summary of: Quantum Noise Removal in X-Ray Images with Adaptive Total Variation Regularization, Informatica, September 2017, Vilnius University Press,
DOI: 10.15388/informatica.2017.141.
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