Title page for ETD etd-09282005-091721


Type of Document Dissertation
Author Trifas, Alina Monica
Author's Email Address mtrifas@hotmail.com
URN etd-09282005-091721
Title Medical Image Enhancement
Degree Doctor of Philosophy (Ph.D.)
Department Computer Science
Advisory Committee
Advisor Name Title
John M. Tyler Committee Chair
Bijaya B. Karki Committee Member
Doris L. Carver Committee Member
Jerry L. Trahan Committee Member
Oleg S. Pianykh Committee Member
Charles D. Bertolini Dean's Representative
Keywords
  • Fourier analysis
  • filtering
  • image enhancement
  • multiscale contrast enhancement
  • visual perception
  • wavelet analysis
Date of Defense 2005-08-24
Availability unrestricted
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.

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