DocumentCode
2380509
Title
Speckle reduction in ultrasound images by minimization of total variation
Author
Djemal, Khalifa
Author_Institution
Lab. Syst. Complexes, Univ. d´´Evry Val d´´Essonnes, France
Volume
3
fYear
2005
fDate
11-14 Sept. 2005
Abstract
To limit the noise in an image, some techniques are based on the calculation of an average intensity in each pixel of the image by considering a some neighbor. However, these techniques tend to attenuate contours present in the image. This affect edge and particularly penalizing for the segmentation algorithms whose finality is to find contours. The restoration method by minimization of total variation, suggested by Rudin et al. (1992), consists in minimizing under constraints of the great variations present in the image while preserving contours. In this paper, we propose an adaptation of the method of Rudin et al. (1992) to the ultrasound images restoration.
Keywords
image denoising; image restoration; image segmentation; speckle; ultrasonic imaging; image contour attenuation; image noise limitation; image pixel; segmentation algorithms; total variation minimization; ultrasound image speckle reduction; ultrasound images restoration; Biomedical imaging; Computer vision; Degradation; Equations; Image processing; Image restoration; Image segmentation; Pixel; Speckle; Ultrasonic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN
0-7803-9134-9
Type
conf
DOI
10.1109/ICIP.2005.1530402
Filename
1530402
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