Noise removal with Gauss curvature-driven diffusion

Suk Ho Lee; Jin Keun Seo

doi:10.1109/TIP.2005.849294

Noise removal with Gauss curvature-driven diffusion

Suk Ho Lee, Jin Keun Seo

Department of Computational Science and Engineering

Research output: Contribution to journal › Article

65 Citations (Scopus)

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
Pages (from-to)	904-909
Number of pages	6
Journal	IEEE Transactions on Image Processing
Volume	14
Issue number	7
DOIs	https://doi.org/10.1109/TIP.2005.849294
Publication status	Published - 2005 Jul 1

All Science Journal Classification (ASJC) codes

Software
Computer Graphics and Computer-Aided Design

Cite this

Lee, S. H., & Seo, J. K. (2005). Noise removal with Gauss curvature-driven diffusion. IEEE Transactions on Image Processing, 14(7), 904-909. https://doi.org/10.1109/TIP.2005.849294

@article{f12e3fd17d2d4e17a4bb1a3d81b5f178,

title = "Noise removal with Gauss curvature-driven diffusion",

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.",

author = "Lee, {Suk Ho} and Seo, {Jin Keun}",

year = "2005",

month = jul

day = "1",

doi = "10.1109/TIP.2005.849294",

language = "English",

volume = "14",

pages = "904--909",

journal = "IEEE Transactions on Image Processing",

issn = "1057-7149",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "7",

}

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 -

Access to Document

10.1109/TIP.2005.849294