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Proceedings Paper

Contrast enhancement of medical images using multiscale decomposition
Author(s): Monica A. Trifas; John M. Tyler; Oleg S. Pianykh
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Paper Abstract

Each image acquired from a medical imaging system is often part of a two-dimensional (2-D) image set whose total presents a three-dimensional (3-D) object for diagnosis. Unfortunately, sometimes these images are of poor quality. These distortions cause an inadequate object-of-interest presentation, which can result in inaccurate image analysis. Blurring is considered a serious problem. Therefore, "deblurring" an image to obtain better quality is an important issue in medical image processing. In our research, the image is initially decomposed. Contrast improvement is achieved by modifying the coefficients obtained from the decomposed image. Small coefficient values represent subtle details and are amplified to improve the visibility of the corresponding details. The stronger image density variations make a major contribution to the overall dynamic range, and have large coefficient values. These values can be reduced without much information loss.

Paper Details

Date Published: 3 February 2006
PDF: 12 pages
Proc. SPIE 6057, Human Vision and Electronic Imaging XI, 60570I (3 February 2006); doi: 10.1117/12.643525
Show Author Affiliations
Monica A. Trifas, Jacksonville State Univ. (United States)
John M. Tyler, Louisiana State Univ. (United States)
Oleg S. Pianykh, Louisiana State Univ. (United States)


Published in SPIE Proceedings Vol. 6057:
Human Vision and Electronic Imaging XI
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Scott J. Daly, Editor(s)

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