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Real-time Haze Removal Method using Brightness Transformation based on Atmospheric Scatter Coefficient Rate and Local Histogram Equalization
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 Title & Authors
Real-time Haze Removal Method using Brightness Transformation based on Atmospheric Scatter Coefficient Rate and Local Histogram Equalization
Lee, Jae-Won; Hong, Sung-Hoon;
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 Abstract
Images taken from outdoor are degraded quality by fog or haze, etc. In this paper, we propose a method that provides the visibility improved images through fog or haze removal. We proposed haze removal method that uses brightness transform based on atmospheric scatter coefficient rate with local histogram equalization. To calculate the transmission rate that indicate fog rate in original image, we use atmospheric scatter coefficient rate based on quadratic equations about haze model. And primary brightness transformed image can be obtained by using the obtained transmission rate. Also we use local histogram equalization with proposed brightness transform for effectively image visibility enhancement. Unlike existing methods, our method can process real-time with stable and effect image visibility enhancement. Proposed method use only the luminance images processed by good performance surveillance systems because it represents the real-time processing is required, black-box, digital camera and multimedia equipment is applicable. Also because it shows good performance only with the luminance images processed, Surveillance systems, black boxes, digital cameras, and multimedia devices etc, that require real-time processing can be applied.
 Keywords
Dehazing;Haze Removal;Haze Model;Visibility Enhancement;
 Language
Korean
 Cited by
 References
1.
Y.Y. Schechner, S.G. Narasimhan, and S.K. Nayar, "Instant Dehazing of Images Using Polarization," Proceeding of Computer Vision and Pattern Recognition, pp. 1984-1991, 2001.

2.
S. Shwartz, E. Namer, and Y.Y. Schechner, "Blind Haze Separation," Proceeding of Computer Vision and Pattern Recognition, pp. 1984-1991, 2006.

3.
S.G. Narasimhan and S.K. Nayar, "Chromatic Framework for Vision in Bad Weather," Proceeding of Computer Vision and Pattern Recognition, pp. 598-605, 2000.

4.
S.G. Narasimhan and S.K. Nayar, "Contrast Restoration of Weather Degraded Images," IEEE Transactions on Pattern Analysis Machine Intelligence, Vol. 25, No. 6, pp. 713-724, 2003. crossref(new window)

5.
S.K. Nayar and S.G. Narasimhan, "Vision in Bad Weather," Proceeding of International Convefence on Computer Vision, pp. 820-827, 1999.

6.
J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, et. al., "Deep Photo: Model-based Photograph Enhancement and Viewing," ACM Transactions on Graphics, Vol. 27, No. 5, pp. 1-10, 2008. crossref(new window)

7.
S.G. Narasimhan and S.K. Nayar, "Interactive Deweathering of an Image Using Physical Models," Proceeding of Workshop on Color and Photometric Methods in Computer Vision (CPMCV), Oct. 2003.

8.
R. Tan, "Visibility in Bad Weather from a Single Image," Proceeding of Computer Vision and Pattern Recognition, pp. 1-8, 2008.

9.
R. Fattal, "Single Image Dehazing," ACM Transactions on Graphics, Vol. 27, No. 3, pp. 1-9, 2008. crossref(new window)

10.
K. He, J. Sun, and X. Tang, "Single Image Haze Removal Using Dark Channel Prior," Proceeding of Computer Vision and Pattern Recognition, pp. 1956-1963, 2009.

11.
Jean-Philippe Tarel, Nicolas Hautiere, "Fast Visibility Restoration from a Single Color or Gray Level Image," Proceeding of IEEE 12th International Conference on Computer Vision, pp. 2201-2208, 2009.

12.
S.M. Pizer, E.P. Amburn, J.D. Austin, Robert Cromartie, Ari Geselowitz, Trey Greer, et al., “Adpative Histogram Equalization and Its Variations,” Computer Vision, Graphics and Image Processing, Vol. 39, No. 3, pp 355-368, 1987. crossref(new window)

13.
N. Hautiere, J.P. Tarel, D. Aubert, and E. Dumont, “Blind Contrast Enhancement Assessment by Gradient Ratioing at Visible Edgese,” Image Analysis & Stereology Journal, Vol. 27, No. 2, pp.87-95, 2008. crossref(new window)

14.
Jae-Won Lee, Sung-Hoon Hong, "Robust Real-time Night Visibility Enhancement for Environmental Change using Haze Removal Method," Journal of Korea Mutimedia Society, Vol.18, No.3, pp 339-348, 2015. crossref(new window)