Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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DR Image Enhancement Using Multiscale Non-Linear Gain Control For Laplacian Pyramid Transformation

라플라시안 피라미드에서의 다중스케일 비선형 이득 조절을 이용한 DR 영상 개선

  • 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)
  • 신동규 (연세대학교 보건과학대학 의공학과) ;
  • 이진수 (연세대학교 보건과학대학 의공학과) ;
  • 김성희 (연세대학교 보건과학대학 의공학과) ;
  • 박인성 (연세대학교 보건과학대학 의공학과) ;
  • 김동윤 (연세대학교 보건과학대학 의공학과)
  • Published : 2007.04.30
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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.

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References

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