Identifier
etd-09282005-091721
Degree
Doctor of Philosophy (PhD)
Department
Computer Science
Document Type
Dissertation
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.
Date
2005
Document Availability at the Time of Submission
Release the entire work immediately for access worldwide.
Recommended Citation
Trifas, Alina Monica, "Medical image enhancement" (2005). LSU Doctoral Dissertations. 589.
https://repository.lsu.edu/gradschool_dissertations/589
Committee Chair
John M. Tyler
DOI
10.31390/gradschool_dissertations.589