Specular detection and removal for a grayscale image based on the markov random field

Fang Yin; Tiantian Chen; Rui Wu; Ziru Fu; Xiaoyang Yu

doi:10.1007/978-981-10-2053-7_57

Specular detection and removal for a grayscale image based on the markov random field

Fang Yin^*
, Tiantian Chen
, Rui Wu
, Ziru Fu
, Xiaoyang Yu

^*Corresponding author for this work

Harbin University of Science and Technology
School of Computer Science and Technology, Harbin Institute of Technology

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

1 Scopus citations

Abstract

Specular detection and removal has been a hot topic in the field of computer vision. Most of the existing methods are mainly for color images, but grayscale images are widely used. For a single grayscale image with only intensity information, highlight detection and removal becomes a difficult issue. To solve this problem, the single grayscale image highlight detection and removal method based on Markov random field is presented. Each reflection component modeling is estimated by geometric relation of surface normal in diffuse and specular reflection component in the framework of Markov random field. Their maximum a posteriori estimation is calculated under Bayesian formula and highlight area is detected. Finally, image inpainting method based on the BSCB model removes highlights. Experiment reveals that this method can effectively detect grayscale image specular reflection area, improve highlight areas the repair rate.

Original language	English
Title of host publication	Social Computing - 2nd International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016, Proceedings
Editors	Wanxiang Che, Hongzhi Wang, Shaoliang Peng, Weipeng Jing, Guanglu Sun, Xianhua Song, Zeguang Lu, Qilong Han, Junyu Lin, Hongtao Song
Publisher	Springer Verlag
Pages	641-649
Number of pages	9
ISBN (Print)	9789811020520
DOIs	https://doi.org/10.1007/978-981-10-2053-7_57
State	Published - 2016
Externally published	Yes
Event	2nd International Conference on Young Computer Scientists, Engineers and Educators, ICYCSEE 2016 - Harbin, China Duration: 20 Aug 2016 → 22 Aug 2016

Publication series

Name	Communications in Computer and Information Science
Volume	623
ISSN (Print)	1865-0929

Conference

Conference	2nd International Conference on Young Computer Scientists, Engineers and Educators, ICYCSEE 2016
Country/Territory	China
City	Harbin
Period	20/08/16 → 22/08/16

Keywords

Computer vision
Markov random field
Specular detection

Access to Document

10.1007/978-981-10-2053-7_57

Cite this

Yin, F., Chen, T., Wu, R., Fu, Z., & Yu, X. (2016). Specular detection and removal for a grayscale image based on the markov random field. In W. Che, H. Wang, S. Peng, W. Jing, G. Sun, X. Song, Z. Lu, Q. Han, J. Lin, & H. Song (Eds.), Social Computing - 2nd International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016, Proceedings (pp. 641-649). (Communications in Computer and Information Science; Vol. 623). Springer Verlag. https://doi.org/10.1007/978-981-10-2053-7_57

Yin, Fang ; Chen, Tiantian ; Wu, Rui et al. / Specular detection and removal for a grayscale image based on the markov random field. Social Computing - 2nd International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016, Proceedings. editor / Wanxiang Che ; Hongzhi Wang ; Shaoliang Peng ; Weipeng Jing ; Guanglu Sun ; Xianhua Song ; Zeguang Lu ; Qilong Han ; Junyu Lin ; Hongtao Song. Springer Verlag, 2016. pp. 641-649 (Communications in Computer and Information Science).

@inproceedings{80f4f0e16201409c93fba75e24fd01ab,

title = "Specular detection and removal for a grayscale image based on the markov random field",

abstract = "Specular detection and removal has been a hot topic in the field of computer vision. Most of the existing methods are mainly for color images, but grayscale images are widely used. For a single grayscale image with only intensity information, highlight detection and removal becomes a difficult issue. To solve this problem, the single grayscale image highlight detection and removal method based on Markov random field is presented. Each reflection component modeling is estimated by geometric relation of surface normal in diffuse and specular reflection component in the framework of Markov random field. Their maximum a posteriori estimation is calculated under Bayesian formula and highlight area is detected. Finally, image inpainting method based on the BSCB model removes highlights. Experiment reveals that this method can effectively detect grayscale image specular reflection area, improve highlight areas the repair rate.",

keywords = "Computer vision, Markov random field, Specular detection",

author = "Fang Yin and Tiantian Chen and Rui Wu and Ziru Fu and Xiaoyang Yu",

note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016.; 2nd International Conference on Young Computer Scientists, Engineers and Educators, ICYCSEE 2016 ; Conference date: 20-08-2016 Through 22-08-2016",

year = "2016",

doi = "10.1007/978-981-10-2053-7\_57",

language = "英语",

isbn = "9789811020520",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "641--649",

editor = "Wanxiang Che and Hongzhi Wang and Shaoliang Peng and Weipeng Jing and Guanglu Sun and Xianhua Song and Zeguang Lu and Qilong Han and Junyu Lin and Hongtao Song",

booktitle = "Social Computing - 2nd International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016, Proceedings",

address = "德国",

}

Yin, F, Chen, T, Wu, R, Fu, Z & Yu, X 2016, Specular detection and removal for a grayscale image based on the markov random field. in W Che, H Wang, S Peng, W Jing, G Sun, X Song, Z Lu, Q Han, J Lin & H Song (eds), Social Computing - 2nd International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016, Proceedings. Communications in Computer and Information Science, vol. 623, Springer Verlag, pp. 641-649, 2nd International Conference on Young Computer Scientists, Engineers and Educators, ICYCSEE 2016, Harbin, China, 20/08/16. https://doi.org/10.1007/978-981-10-2053-7_57

Specular detection and removal for a grayscale image based on the markov random field. / Yin, Fang; Chen, Tiantian; Wu, Rui et al.
Social Computing - 2nd International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016, Proceedings. ed. / Wanxiang Che; Hongzhi Wang; Shaoliang Peng; Weipeng Jing; Guanglu Sun; Xianhua Song; Zeguang Lu; Qilong Han; Junyu Lin; Hongtao Song. Springer Verlag, 2016. p. 641-649 (Communications in Computer and Information Science; Vol. 623).

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

TY - GEN

T1 - Specular detection and removal for a grayscale image based on the markov random field

AU - Yin, Fang

AU - Chen, Tiantian

AU - Wu, Rui

AU - Fu, Ziru

AU - Yu, Xiaoyang

N1 - Publisher Copyright: © Springer Science+Business Media Singapore 2016.

PY - 2016

Y1 - 2016

N2 - Specular detection and removal has been a hot topic in the field of computer vision. Most of the existing methods are mainly for color images, but grayscale images are widely used. For a single grayscale image with only intensity information, highlight detection and removal becomes a difficult issue. To solve this problem, the single grayscale image highlight detection and removal method based on Markov random field is presented. Each reflection component modeling is estimated by geometric relation of surface normal in diffuse and specular reflection component in the framework of Markov random field. Their maximum a posteriori estimation is calculated under Bayesian formula and highlight area is detected. Finally, image inpainting method based on the BSCB model removes highlights. Experiment reveals that this method can effectively detect grayscale image specular reflection area, improve highlight areas the repair rate.

AB - Specular detection and removal has been a hot topic in the field of computer vision. Most of the existing methods are mainly for color images, but grayscale images are widely used. For a single grayscale image with only intensity information, highlight detection and removal becomes a difficult issue. To solve this problem, the single grayscale image highlight detection and removal method based on Markov random field is presented. Each reflection component modeling is estimated by geometric relation of surface normal in diffuse and specular reflection component in the framework of Markov random field. Their maximum a posteriori estimation is calculated under Bayesian formula and highlight area is detected. Finally, image inpainting method based on the BSCB model removes highlights. Experiment reveals that this method can effectively detect grayscale image specular reflection area, improve highlight areas the repair rate.

KW - Computer vision

KW - Markov random field

KW - Specular detection

UR - https://www.scopus.com/pages/publications/84981156362

U2 - 10.1007/978-981-10-2053-7_57

DO - 10.1007/978-981-10-2053-7_57

M3 - 会议稿件

AN - SCOPUS:84981156362

SN - 9789811020520

T3 - Communications in Computer and Information Science

SP - 641

EP - 649

BT - Social Computing - 2nd International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016, Proceedings

A2 - Che, Wanxiang

A2 - Wang, Hongzhi

A2 - Peng, Shaoliang

A2 - Jing, Weipeng

A2 - Sun, Guanglu

A2 - Song, Xianhua

A2 - Lu, Zeguang

A2 - Han, Qilong

A2 - Lin, Junyu

A2 - Song, Hongtao

PB - Springer Verlag

T2 - 2nd International Conference on Young Computer Scientists, Engineers and Educators, ICYCSEE 2016

Y2 - 20 August 2016 through 22 August 2016

ER -

Yin F, Chen T, Wu R, Fu Z, Yu X. Specular detection and removal for a grayscale image based on the markov random field. In Che W, Wang H, Peng S, Jing W, Sun G, Song X, Lu Z, Han Q, Lin J, Song H, editors, Social Computing - 2nd International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016, Proceedings. Springer Verlag. 2016. p. 641-649. (Communications in Computer and Information Science). doi: 10.1007/978-981-10-2053-7_57

Specular detection and removal for a grayscale image based on the markov random field

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