Visibility restoration from single image based optical model

Qieshi Zhang; Sei Ichiro Kamata

Visibility restoration from single image based optical model

Qieshi Zhang^*, Sei Ichiro Kamata

^*Corresponding author for this work

Graduate School of Information, Production and Systems

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

Abstract

In this paper, we propose a segmentation based method to estimate the haze-free image by the optical model. In this work, we estimate the atmospheric light by color barycenter hexagon (CBH) model and use the watershed to segment the image to calculate transmission map by dark pixels with single image. Firstly, non-color region is segmented by CBH model and calculate the atmospheric light. Then, use the watershed with rang component of CBH model to segment the color image into several sub-regions, and estimate the transmission map. Finally, use the optical model with the parameters to restore the haze-free image. The experimental results show that our method is more effective and able to get better results than other compared single image based methods.

Original language	English
Title of host publication	VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications
Pages	213-216
Number of pages	4
Publication status	Published - 2012 Jun 15
Event	International Conference on Computer Vision Theory and Applications, VISAPP 2012 - Rome, Italy Duration: 2012 Feb 24 → 2012 Feb 26

Publication series

Name	VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications
Volume	1

Conference

Conference	International Conference on Computer Vision Theory and Applications, VISAPP 2012
Country/Territory	Italy
City	Rome
Period	12/2/24 → 12/2/26

Keywords

Color barycenter hexagon (CBH) model
Haze removal
Optical model
Single image
Watershed

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition

Cite this

Visibility restoration from single image based optical model. / Zhang, Qieshi; Kamata, Sei Ichiro.

VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications. 2012. p. 213-216 (VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications; Vol. 1).

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

Zhang, Q & Kamata, SI 2012, Visibility restoration from single image based optical model. in VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications. VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications, vol. 1, pp. 213-216, International Conference on Computer Vision Theory and Applications, VISAPP 2012, Rome, Italy, 12/2/24.

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title = "Visibility restoration from single image based optical model",

abstract = "In this paper, we propose a segmentation based method to estimate the haze-free image by the optical model. In this work, we estimate the atmospheric light by color barycenter hexagon (CBH) model and use the watershed to segment the image to calculate transmission map by dark pixels with single image. Firstly, non-color region is segmented by CBH model and calculate the atmospheric light. Then, use the watershed with rang component of CBH model to segment the color image into several sub-regions, and estimate the transmission map. Finally, use the optical model with the parameters to restore the haze-free image. The experimental results show that our method is more effective and able to get better results than other compared single image based methods.",

keywords = "Color barycenter hexagon (CBH) model, Haze removal, Optical model, Single image, Watershed",

author = "Qieshi Zhang and Kamata, {Sei Ichiro}",

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language = "English",

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note = "International Conference on Computer Vision Theory and Applications, VISAPP 2012 ; Conference date: 24-02-2012 Through 26-02-2012",

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AU - Zhang, Qieshi

AU - Kamata, Sei Ichiro

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AB - In this paper, we propose a segmentation based method to estimate the haze-free image by the optical model. In this work, we estimate the atmospheric light by color barycenter hexagon (CBH) model and use the watershed to segment the image to calculate transmission map by dark pixels with single image. Firstly, non-color region is segmented by CBH model and calculate the atmospheric light. Then, use the watershed with rang component of CBH model to segment the color image into several sub-regions, and estimate the transmission map. Finally, use the optical model with the parameters to restore the haze-free image. The experimental results show that our method is more effective and able to get better results than other compared single image based methods.

KW - Color barycenter hexagon (CBH) model

KW - Haze removal

KW - Optical model

KW - Single image

KW - Watershed

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Visibility restoration from single image based optical model

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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