Improved image inpainting using maximum value edge detector

Chandralekha De; Frank Y. Shih

doi:10.1109/SSIAI.2012.6202457

Improved image inpainting using maximum value edge detector

Chandralekha De, Frank Y. Shih

Computer Science

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

1 Scopus citations

Abstract

Image inpainting is a novel method to repair damaged images. In this paper, an improved edge operator is proposed to calculate the structure priority value for determining the order of filling in an image. We use a maximum value edge operator which refines the number of edge pixels detected accurately as opposed to the existing method which relies on a single edge operator and in many cases may not provide the best output. An improvement in accuracy for edge detection thereby improves the quality of the inpainting method.

Original language	English (US)
Title of host publication	2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012, Proceedings
Pages	77-80
Number of pages	4
DOIs	https://doi.org/10.1109/SSIAI.2012.6202457
State	Published - 2012
Event	2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012 - Santa Fe, NM, United States Duration: Apr 22 2012 → Apr 24 2012

Publication series

Name	Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Other

Other	2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012
Country/Territory	United States
City	Santa Fe, NM
Period	4/22/12 → 4/24/12

All Science Journal Classification (ASJC) codes

Software
Computer Vision and Pattern Recognition
Computer Science Applications

Keywords

inpainting
texture

Access to Document

10.1109/SSIAI.2012.6202457

Cite this

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title = "Improved image inpainting using maximum value edge detector",

abstract = "Image inpainting is a novel method to repair damaged images. In this paper, an improved edge operator is proposed to calculate the structure priority value for determining the order of filling in an image. We use a maximum value edge operator which refines the number of edge pixels detected accurately as opposed to the existing method which relies on a single edge operator and in many cases may not provide the best output. An improvement in accuracy for edge detection thereby improves the quality of the inpainting method.",

keywords = "inpainting, texture",

author = "Chandralekha De and Shih, {Frank Y.}",

year = "2012",

doi = "10.1109/SSIAI.2012.6202457",

language = "English (US)",

isbn = "9781467318303",

series = "Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation",

pages = "77--80",

booktitle = "2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012, Proceedings",

note = "2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012 ; Conference date: 22-04-2012 Through 24-04-2012",

}

De, C & Shih, FY 2012, Improved image inpainting using maximum value edge detector. in 2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012, Proceedings., 6202457, Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, pp. 77-80, 2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012, Santa Fe, NM, United States, 4/22/12. https://doi.org/10.1109/SSIAI.2012.6202457

Improved image inpainting using maximum value edge detector. / De, Chandralekha; Shih, Frank Y.
2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012, Proceedings. 2012. p. 77-80 6202457 (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation).

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

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AU - De, Chandralekha

AU - Shih, Frank Y.

PY - 2012

Y1 - 2012

N2 - Image inpainting is a novel method to repair damaged images. In this paper, an improved edge operator is proposed to calculate the structure priority value for determining the order of filling in an image. We use a maximum value edge operator which refines the number of edge pixels detected accurately as opposed to the existing method which relies on a single edge operator and in many cases may not provide the best output. An improvement in accuracy for edge detection thereby improves the quality of the inpainting method.

AB - Image inpainting is a novel method to repair damaged images. In this paper, an improved edge operator is proposed to calculate the structure priority value for determining the order of filling in an image. We use a maximum value edge operator which refines the number of edge pixels detected accurately as opposed to the existing method which relies on a single edge operator and in many cases may not provide the best output. An improvement in accuracy for edge detection thereby improves the quality of the inpainting method.

KW - inpainting

KW - texture

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U2 - 10.1109/SSIAI.2012.6202457

DO - 10.1109/SSIAI.2012.6202457

M3 - Conference contribution

AN - SCOPUS:84862891077

SN - 9781467318303

T3 - Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

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BT - 2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012, Proceedings

T2 - 2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012

Y2 - 22 April 2012 through 24 April 2012

ER -

Improved image inpainting using maximum value edge detector

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

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