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http://dx.doi.org/10.9718/JBER.2007.28.2.199

DR Image Enhancement Using Multiscale Non-Linear Gain Control For Laplacian Pyramid Transformation  

Shin, Dong-Kyu (Department of Biomedical Engineering, College of Health Sciences, Yonsei University)
Lee, Jin-Su (Department of Biomedical Engineering, College of Health Sciences, Yonsei University)
Kim, Sung-Hee (Department of Biomedical Engineering, College of Health Sciences, Yonsei University)
Park, In-Sung (Department of Biomedical Engineering, College of Health Sciences, Yonsei University)
Kim, Dong-Youn (Department of Biomedical Engineering, College of Health Sciences, Yonsei University)
Publication Information
Journal of Biomedical Engineering Research / v.28, no.2, 2007 , pp. 199-204 More about this Journal
Abstract
In digital radiography, to improve the contrast of digital radiography image, the multi-scale nonlinear amplification algorithm based on unsharp masking is one of the major image enhancement algorithms. In this paper, we used the Laplacian pyramid to decompose a digital radiography(DR) image. In our simulation, the DR image was decomposed into seven layers and the coefficients of the each layer was amplified with nonlinear function. We also imported a noise containment algorithm to limit noise amplification. To enhance the contrast of image, we proposed a new adaptive non-linear gain amplification coefficients. As a result of having applied to some clinical data, a detail visibility was improved significantly without unacceptable noise boosting. Images that acquired with the proposed adaptive non-linear gain coefficients have shown superior quality to those that applied similar gain control method and expected to be accepted in the clinical applications.
Keywords
digital radiography; laplacian pyramid; gaussian pyramid; non-linear gain function;
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