Visibility restoration from single image based optical model

Qieshi Zhang, Seiichiro Kamata

研究成果: Conference contribution

抄録

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.

元の言語English
ホスト出版物のタイトルVISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications
ページ213-216
ページ数4
1
出版物ステータスPublished - 2012
イベントInternational Conference on Computer Vision Theory and Applications, VISAPP 2012 - Rome
継続期間: 2012 2 242012 2 26

Other

OtherInternational Conference on Computer Vision Theory and Applications, VISAPP 2012
Rome
期間12/2/2412/2/26

Fingerprint

Visibility
Restoration
Color
Watersheds
Pixels

ASJC Scopus subject areas

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

これを引用

Zhang, Q., & Kamata, S. (2012). Visibility restoration from single image based optical model. : VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications (巻 1, pp. 213-216)

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

VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications. 巻 1 2012. p. 213-216.

研究成果: Conference contribution

Zhang, Q & Kamata, S 2012, Visibility restoration from single image based optical model. : VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications. 巻. 1, pp. 213-216, International Conference on Computer Vision Theory and Applications, VISAPP 2012, Rome, 12/2/24.
Zhang Q, Kamata S. Visibility restoration from single image based optical model. : VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications. 巻 1. 2012. p. 213-216
Zhang, Qieshi ; Kamata, Seiichiro. / Visibility restoration from single image based optical model. VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications. 巻 1 2012. pp. 213-216
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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.",
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