A New Defogging Algorithm Based on Atmospheric Degradation Physical Model

Article Preview

Abstract:

Aiming at the degeneration phenomenon of images taken in mist, according to features of the drop quality image, this paper proposed a novel defogging algorithm based on improved atmospheric scattering model. The problem of fog-degraded images defogging restoration is transformed into the problem of optimization estimation for original un-degraded image by maximizing the global contrast object function, in this way, the proposed algorithm can restore the object image as completely as possible in probability sense. The experimental results show that the method can effectively improve the fog degeneration phenomenon and improve image clarity, significantly improving drop quality image visual effect.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

2484-2487

Citation:

Online since:

July 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Mathieu Carnec, Patrick Le Callet. Objective quality assessment of color images based on a generic perceptual reduced reference[J]. Signal Processing: Image Communication . 2008 (4).

DOI: 10.1016/j.image.2008.02.003

Google Scholar

[2] Nicolas Hautiere and DidierAubert. Contrast Restoration of Foggy Images through Use of an onboard Camera. Proceedings of the 8th International IEEE Conference on the Intelligent Transportation Systems.J. 601-606 (2005).

DOI: 10.1109/itsc.2005.1520203

Google Scholar

[3] YoavYSehoehner. Instant Dehazing of Images Using Polarization. Proeeedings of IEEE Computer Society Conferenee Commuter Vision and Pattem Reeognition. L: 325-332 (2001).

Google Scholar

[4] Kai-Qi Huang, Qiao Wang. Natural color image enhancement and evaluation algorithm based on human visual system[J]. Computer Vision and Image Understanding. 2006 (1).

DOI: 10.1016/j.cviu.2006.02.007

Google Scholar

[5] OAKLEY JP . Improving image quality in poor visibility conditions using a physical model for contrast degradation.J. IEEE Transactions on Image Processing. 7 (2): 167-179 (1998).

DOI: 10.1109/83.660994

Google Scholar

[6] Anat Levin, Dani Lischinski, Yair Weiss. A closed form solution to natural image matting. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition . (2006).

DOI: 10.1109/cvpr.2006.18

Google Scholar

[7] Kaiming He, Jian Sun, Xiaoou Tang. Single image haze removal using dark channel prior. IEEE Conference on Computer Vision and Pattern Recognition . (2009).

DOI: 10.1109/cvpr.2009.5206515

Google Scholar