Abstract
In foggy weather conditions, images become degraded due to the presence of airlight that is generated by scattering light by fog particles. In this paper, we propose an effective method to correct the degraded image by subtracting the estimated airlight map from the degraded image. The airlight map is generated using multiple linear regression, which models the relationship between regional airlight and the coordinates of the image pixels. Airlight can then be estimated using a cost function that is based on the human visual model, wherein a human is more insensitive to variations of the luminance in bright regions than in dark regions. For this objective, the luminance image is employed for airlight estimation. The luminance image is generated by an appropriate fusion of the R, G, and B components. Representative experiments on real foggy images confirm significant enhancement in image quality over the degraded image.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Reference
Y. S. Zhai and X. M. Liu, An improved fog-degraded image enhancement algorithm, International Conference on Wavelet Analysis and Pattern Recognition, 2007, ICWAPR’07, vol. 2, 2007.
S. G. Narasimhan and S. K. Nayar, Contrast restoration of weather degraded images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 25, 713–724, 2003.
E. Namer and Y. Y. Schechner, Advanced visibility improvement based on polarization filtered images,” Proceedings of SPIE, 5888, 36–45, 2005.
Y. Y. Schechner, S. G. Narasimhan, and S. K. Nayar, Polarization-based vision through haze, Applied Optics, 42, 511–525, 2003.
J. P. Oakley and H. Bu, Correction of simple contrast loss in color images, IEEE Transactions on Image Processing, 16, 511–522, 2007.
Y. Yitzhaky, I. Dror, and N. S. Kopeika, Restoration of atmospherically blurred images according to weather-predicted atmospheric modulation transfer functions, Optical Engineering, 36, 3064, 1997.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Kim, D., Jeon, C., Kang, B., Ko, H. (2009). Enhancement of Image Degraded by Fog Using Cost Function Based on Human Visual Model. In: Hahn, H., Ko, H., Lee, S. (eds) Multisensor Fusion and Integration for Intelligent Systems. Lecture Notes in Electrical Engineering, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89859-7_12
Download citation
DOI: https://doi.org/10.1007/978-3-540-89859-7_12
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89858-0
Online ISBN: 978-3-540-89859-7
eBook Packages: EngineeringEngineering (R0)