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Medical image enhancement.

Trifas, Alina Monica.

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Medical image enhancement.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Medical image enhancement./
作者:	Trifas, Alina Monica.
面頁冊數:	362 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6081.
Contained By:	Dissertation Abstracts International66-11B.
標題:	Computer Science. -
電子資源:	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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500 $a Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6081.
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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.
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650 4 $a Health Sciences, Radiology. $3 1019076
650 4 $a Biophysics, Medical. $3 1017681
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