Abstract
In this paper, we propose the use of the Gauss curvature in a Gauss curvature-driven diffusion equation for noise removal. The proposed scheme uses the Gauss curvature as the conductance term and controls the amount of diffusion. The main advantage of the scheme is that it preserves important structures, such as straight edges, curvy edges, ramps, corners, small-scaled features, etc.
Original language | English |
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Pages (from-to) | 904-909 |
Number of pages | 6 |
Journal | IEEE Transactions on Image Processing |
Volume | 14 |
Issue number | 7 |
DOIs | |
Publication status | Published - 2005 Jul 1 |
All Science Journal Classification (ASJC) codes
- Software
- Computer Graphics and Computer-Aided Design
Cite this
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Noise removal with Gauss curvature-driven diffusion. / Lee, Suk Ho; Seo, Jin Keun.
In: IEEE Transactions on Image Processing, Vol. 14, No. 7, 01.07.2005, p. 904-909.Research output: Contribution to journal › Article
TY - JOUR
T1 - Noise removal with Gauss curvature-driven diffusion
AU - Lee, Suk Ho
AU - Seo, Jin Keun
PY - 2005/7/1
Y1 - 2005/7/1
N2 - In this paper, we propose the use of the Gauss curvature in a Gauss curvature-driven diffusion equation for noise removal. The proposed scheme uses the Gauss curvature as the conductance term and controls the amount of diffusion. The main advantage of the scheme is that it preserves important structures, such as straight edges, curvy edges, ramps, corners, small-scaled features, etc.
AB - In this paper, we propose the use of the Gauss curvature in a Gauss curvature-driven diffusion equation for noise removal. The proposed scheme uses the Gauss curvature as the conductance term and controls the amount of diffusion. The main advantage of the scheme is that it preserves important structures, such as straight edges, curvy edges, ramps, corners, small-scaled features, etc.
UR - http://www.scopus.com/inward/record.url?scp=21244479794&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=21244479794&partnerID=8YFLogxK
U2 - 10.1109/TIP.2005.849294
DO - 10.1109/TIP.2005.849294
M3 - Article
C2 - 16028554
AN - SCOPUS:21244479794
VL - 14
SP - 904
EP - 909
JO - IEEE Transactions on Image Processing
JF - IEEE Transactions on Image Processing
SN - 1057-7149
IS - 7
ER -