Edge-preserving smoothing by convex minimization

S. Z. Li; Y. H. Huang; J. S. Fu; K. L. Chan

doi:10.1007/3-540-63930-6_190

Edge-preserving smoothing by convex minimization

S. Z. Li
, Y. H. Huang
, J. S. Fu
, K. L. Chan

Nanyang Technological University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This work presents a new approach for analyzing the problem of edge-preserving image smoothing using convex minimization and for selecting smoothing parameters. The close-form (global) solution is derived as the response of a convex smoothing model to the ideal step edge. Insights into how the minimal solution responds to edges in the data and how the parameter values affect resultant edges in the solution are drawn from the analytic expression of the close-form solution. Based on this, a scheme is proposed for selecting parameters to achieve desirable response at edges.

Original language	English
Title of host publication	Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings
Editors	Roland Chin, Ting-Chuen Pong
Publisher	Springer Verlag
Pages	746-753
Number of pages	8
ISBN (Print)	3540639306, 9783540639305
DOIs	https://doi.org/10.1007/3-540-63930-6_190
State	Published - 1997
Externally published	Yes
Event	3rd Asian Conference on Computer Vision, ACCV 1998 - Hong Kong, China Duration: 08 01 1998 → 10 01 1998

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1351
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd Asian Conference on Computer Vision, ACCV 1998
Country/Territory	China
City	Hong Kong
Period	08/01/98 → 10/01/98

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1997.

Access to Document

10.1007/3-540-63930-6_190

Cite this

Li, S. Z., Huang, Y. H., Fu, J. S., & Chan, K. L. (1997). Edge-preserving smoothing by convex minimization. In R. Chin, & T.-C. Pong (Eds.), Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings (pp. 746-753). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1351). Springer Verlag. https://doi.org/10.1007/3-540-63930-6_190

Li, S. Z. ; Huang, Y. H. ; Fu, J. S. et al. / Edge-preserving smoothing by convex minimization. Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings. editor / Roland Chin ; Ting-Chuen Pong. Springer Verlag, 1997. pp. 746-753 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Edge-preserving smoothing by convex minimization",

abstract = "This work presents a new approach for analyzing the problem of edge-preserving image smoothing using convex minimization and for selecting smoothing parameters. The close-form (global) solution is derived as the response of a convex smoothing model to the ideal step edge. Insights into how the minimal solution responds to edges in the data and how the parameter values affect resultant edges in the solution are drawn from the analytic expression of the close-form solution. Based on this, a scheme is proposed for selecting parameters to achieve desirable response at edges.",

author = "Li, \{S. Z.\} and Huang, \{Y. H.\} and Fu, \{J. S.\} and Chan, \{K. L.\}",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1997.; 3rd Asian Conference on Computer Vision, ACCV 1998 ; Conference date: 08-01-1998 Through 10-01-1998",

year = "1997",

doi = "10.1007/3-540-63930-6\_190",

language = "英语",

isbn = "3540639306",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

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editor = "Roland Chin and Ting-Chuen Pong",

booktitle = "Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings",

address = "德国",

}

Li, SZ, Huang, YH, Fu, JS & Chan, KL 1997, Edge-preserving smoothing by convex minimization. in R Chin & T-C Pong (eds), Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1351, Springer Verlag, pp. 746-753, 3rd Asian Conference on Computer Vision, ACCV 1998, Hong Kong, China, 08/01/98. https://doi.org/10.1007/3-540-63930-6_190

Edge-preserving smoothing by convex minimization. / Li, S. Z.; Huang, Y. H.; Fu, J. S. et al.
Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings. ed. / Roland Chin; Ting-Chuen Pong. Springer Verlag, 1997. p. 746-753 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1351).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Edge-preserving smoothing by convex minimization

AU - Li, S. Z.

AU - Huang, Y. H.

AU - Fu, J. S.

AU - Chan, K. L.

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 1997.

PY - 1997

Y1 - 1997

N2 - This work presents a new approach for analyzing the problem of edge-preserving image smoothing using convex minimization and for selecting smoothing parameters. The close-form (global) solution is derived as the response of a convex smoothing model to the ideal step edge. Insights into how the minimal solution responds to edges in the data and how the parameter values affect resultant edges in the solution are drawn from the analytic expression of the close-form solution. Based on this, a scheme is proposed for selecting parameters to achieve desirable response at edges.

AB - This work presents a new approach for analyzing the problem of edge-preserving image smoothing using convex minimization and for selecting smoothing parameters. The close-form (global) solution is derived as the response of a convex smoothing model to the ideal step edge. Insights into how the minimal solution responds to edges in the data and how the parameter values affect resultant edges in the solution are drawn from the analytic expression of the close-form solution. Based on this, a scheme is proposed for selecting parameters to achieve desirable response at edges.

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DO - 10.1007/3-540-63930-6_190

M3 - 会议稿件

AN - SCOPUS:84957378822

SN - 3540639306

SN - 9783540639305

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 746

EP - 753

BT - Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings

A2 - Chin, Roland

A2 - Pong, Ting-Chuen

PB - Springer Verlag

T2 - 3rd Asian Conference on Computer Vision, ACCV 1998

Y2 - 8 January 1998 through 10 January 1998

ER -

Li SZ, Huang YH, Fu JS, Chan KL. Edge-preserving smoothing by convex minimization. In Chin R, Pong TC, editors, Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings. Springer Verlag. 1997. p. 746-753. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-63930-6_190

Edge-preserving smoothing by convex minimization

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