Abstract
Poor visibility in the presence of fog is a major problem for many applications of computer vision. Still image and video systems are typically of limited use in poor visibility condition as the degraded images/frames lack visual vividness and offer low visibility of the scene contents. This paper investigates the defogging effects on images and frames by using a fast defogging method on our own newly developed database, namely Society of Applied Microwave Electronics Engineering and Research-Tripura University (SAMEER-TU) database which consists of 5,390 color images and 10 videos captured in foggy as well as in clear condition. The first step of the method ensures contrast enhancement yielding better global visibility, but the images/frames containing very dense fog still suffer from low visibility. In that case, Luminance and chromatic weight map have been used. Finally for verifying the robustness of the method, qualitative assessment evaluation in respect of peak-signal-to-noise ratio (PSNR) and root-mean-square error (RMSE) is introduced as a contributory step in this paper.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhu, P., Zhu, H., Qian, X., Li, H.: An image clearness method for fog. Int. J. Image Graph. 9(3), 124–127 (2004)
Ramya, C., Rani, S.: A novel method for the contrast enhancement of fog degraded video sequences. Int. J. Comput. Appl. 54(13), 1–5 (2012)
Yingxin, L.: Poor contrast foggy image enhancement algorithm research. Tianjin University (2003)
Li, P.: Method of removing fog effect from images. Nanjing University of Technology (2005)
He, K., Sun, J., Tang, X.: Single image haze removal using dark channel prior. In: Proceedings of IEEE conference on computer vision and pattern recognition, pp. 1956–1963, June 2009
Tarel J.-P., Hautiere, N. Fast visibility restoration from a single color or gray level image. In: Proceedings of IEEE international conference on computer vision, pp. 2201–2208, Sept–Oct 2009
Tan, R.T.: Visibility in bad weather from a single image. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1–8, June 2008
Ancuti, C.O., Ancuti, C.: Single image dehazing by multi-scale fusion. IEEE Trans. Image Process. 22(8), 3271–3282 (2013)
Narasimhan, S., Nayar, S.: Vision in bad weather. In: Proceedings of IEEE Conference on Computer Vision, pp. 820–827, Sept 1999
Kutter, M., Petitcolas, F.A.P.: A fair benchmark for image watermarking systems. In: Wong and Delp [106], pp. 226–239. ISBN 0-8194-3128-1
Xu, Z., Liu, X.: Bilinear interpolation dynamic histogram equalization for fog-degraded image enhancement. Int. J. Inf. Comput. Sci. 7(8), 1727–1732 (2010)
Kaushik, P., Sharma Y.: Comparison of different image enhancement techniques based upon Psnr and Mse. Int. J. Appl. Eng. Res. 7(11), 2012 (2012)
Narasimhan, S., Nayar, S.: Contrast restoration of weather degraded Images. IEEE Trans. Pattern Anal. Mach. Intell. 25(6), 713–724 (2003)
Acknowledgments
The first author is thankful to the Society of Applied Microwave Electronics Engineering and Research (SAMEER), R&D Lab of Department of Electronics and Information Technology (DeitY), Government of India. The database presented here is being created in the Biometrics Laboratory of Department of Computer Science and Engineering of Tripura University (A Central University), India, under the project entitled “Development of Thermography Infrastructure facility for Security and Navigation System-Phase-1” supported by the Grant No. SMR/PD(R)/NER/2012–13/Thermography, dated 22/03/2013 from the Society of Applied Microwave Electronics Engineering and Research (SAMEER), IIT Bombay campus, Powai, Mumbai 400076.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer India
About this paper
Cite this paper
Pal, T., Bhowmik, M.K., Ghosh, A.K. (2015). Contrast Restoration of Fog-Degraded Image Sequences. In: Das, K., Deep, K., Pant, M., Bansal, J., Nagar, A. (eds) Proceedings of Fourth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 335. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2217-0_28
Download citation
DOI: https://doi.org/10.1007/978-81-322-2217-0_28
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2216-3
Online ISBN: 978-81-322-2217-0
eBook Packages: EngineeringEngineering (R0)