TY - GEN
T1 - Visibility restoration from single image based optical model
AU - Zhang, Qieshi
AU - Kamata, Sei Ichiro
PY - 2012/6/15
Y1 - 2012/6/15
N2 - 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.
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
UR - http://www.scopus.com/inward/record.url?scp=84862124714&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862124714&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84862124714
SN - 9789898565037
T3 - VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications
SP - 213
EP - 216
BT - VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications
T2 - International Conference on Computer Vision Theory and Applications, VISAPP 2012
Y2 - 24 February 2012 through 26 February 2012
ER -