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 › peer-review

88 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

Bibliographical note

Funding Information:
Manuscript received December 31, 2003; revised July 9, 2004. This work was supported by the Korea Science and Engineering Foundation under Grant R11-2002-103. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Giovanni Ramponi. The authors are with the Department of Mathematics, Yonsei University, Seoul 120-749, Korea (e-mail: [email protected]). Digital Object Identifier 10.1109/TIP.2005.849294

All Science Journal Classification (ASJC) codes

Software
Computer Graphics and Computer-Aided Design

Access to Document

10.1109/TIP.2005.849294

Cite this

@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.",

keywords = "Gauss curvature, Noise removal, Nonlinear partial differential equation (PDE)",

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

note = "Funding Information: Manuscript received December 31, 2003; revised July 9, 2004. This work was supported by the Korea Science and Engineering Foundation under Grant R11-2002-103. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Giovanni Ramponi. The authors are with the Department of Mathematics, Yonsei University, Seoul 120-749, Korea (e-mail: [email protected]). Digital Object Identifier 10.1109/TIP.2005.849294",

year = "2005",

month = jul,

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

N1 - Funding Information: Manuscript received December 31, 2003; revised July 9, 2004. This work was supported by the Korea Science and Engineering Foundation under Grant R11-2002-103. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Giovanni Ramponi. The authors are with the Department of Mathematics, Yonsei University, Seoul 120-749, Korea (e-mail: [email protected]). Digital Object Identifier 10.1109/TIP.2005.849294

PY - 2005/7

Y1 - 2005/7

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.

KW - Gauss curvature

KW - Noise removal

KW - Nonlinear partial differential equation (PDE)

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

SN - 1057-7149

VL - 14

SP - 904

EP - 909

JO - IEEE Transactions on Image Processing

JF - IEEE Transactions on Image Processing

IS - 7

ER -

Noise removal with Gauss curvature-driven diffusion

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this