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Medical image enhancement.

Trifas, Alina Monica.

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Medical image enhancement.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Medical image enhancement./
Author:	Trifas, Alina Monica.
Description:	362 p.
Notes:	Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6081.
Contained By:	Dissertation Abstracts International66-11B.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3199764
ISBN:	9780542440762

Medical image enhancement.
Trifas, Alina Monica.

Medical image enhancement. - 362 p.

Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6081.

Thesis (Ph.D.)--Louisiana State University and Agricultural & Mechanical College, 2005.

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.

ISBN: 9780542440762Subjects--Topical Terms:

626642
Computer Science.

Medical image enhancement.
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100 1 $a Trifas, Alina Monica. $3 1914901
245 1 0 $a Medical image enhancement.
300 $a 362 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6081.
500 $a Director: John M. Tyler.
502 $a Thesis (Ph.D.)--Louisiana State University and Agricultural & Mechanical College, 2005.
520 $a 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.
520 $a 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.
590 $a School code: 0107.
650 4 $a Computer Science. $3 626642
650 4 $a Health Sciences, Radiology. $3 1019076
650 4 $a Biophysics, Medical. $3 1017681
690 $a 0984
690 $a 0574
690 $a 0760
710 2 0 $a Louisiana State University and Agricultural & Mechanical College. $3 783779
773 0 $t Dissertation Abstracts International $g 66-11B.
790 1 0 $a Tyler, John M., $e advisor
790 $a 0107
791 $a Ph.D.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3199764