Foggy Video Restoration Using Guided Filter

Authors

  • Kanala M Department of Electronics and Communication Engineering, JNTUA College of Engineering, Pulivendula, Andhra Pradesh, India
  • Mahaboob SK Department of Electronics and Communication Engineering, JNTUA College of Engineering, Pulivendula, Andhra Pradesh, India

Keywords:

Guided filter, dark channel method, Transmission map, Video Restoration

Abstract

When videos are captured under the influence of atmospheric or climatic conditions, the overall quality of the image gets effected with fog and haze. This work focuses on haze removal which is also called as the visibility restoration which can infer to the various procedures employed for removing or reducing degradation from the image. Degradation in image can be due to various reasons such as miss-focus, relative atmospheric conditions and object-camera motion. This paper presents a method in which the fog in video can be removed by using dark channel method followed by Guided filtering. Guided filter has better filtering capability, fast running time and gives a clear haze free video. So, we can say that this method can be employed in real-life settings or video applications. Restoration of hazy videos is important in computer graphics, remote sensing and outdoor surveillance

References

[1] Kaiming He, Jian Sun and Xiaoou Tang,” Single image haze removal using Dark Channel Prior,” IEEE Transactions on Pattern analysis and Machine intelligence, Vol. 33, No. 12, December 2011.

[2] Md. Imtiyaz Anwar , Arun Khosla ”Vision enhancement through single image fog removal” Engineering Science and technology.

[3] R. R. Tan, “visibility in bad weather from a single image,” IEEE Conference on CVPR, 2008.

[4] R. Fattal, “Single Image Dehazing,” SIGGRAPH, 2008.

[5] Narasimhan, Srinivasa G. and Shree K. Nayar, "Chromatic framework for vision in bad weather", The Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 598-605, 2000.

[6] Z. Tao, S. Changyan1 & W. Xinnian1, “Atmospheric scattering-based multiple images fog removal,”4th International Congress on Image and Signal Processing, 2011.

[7] Schechner, Yoav Y., Srinivasa G. Narasimhan and Shree K. Nayar, "Instant dehazing of images using polarization", The Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition ( CVPR), vol. 1, pp. I-325, 2001.

[8] Shwartz, Sarit, Einav Namer and Yoav Y. Schechner, "Blind haze separation", IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 1984-1991, 2006.

[9] T.Veeranjaneyulu, N H Sankaramurthy, Ravi Prasad Kini, A.Prasanna Kumar & Sibsambhu Kar” A Fast Method of Fog and Haze Removal” ICASSP , 2016.

[10] N Hautière, JP Tarel, J Lavenant, D Aubert, Automatic fog detection and estimation of visibility distance through use of onboard camera. Mach. Vis.Appl. 17(1), 8–20 (2006)

[11] K. He, J. Sun, and X. Tang, “Guided image filtering,” in Proc. Europ. Conf. on Comp. Vis., Sep. 2010.

[12] Ritesh Tiwari and Anil Khandelwal “ Fog Removal Technique with Improved Quality through FFT”DOI: 10.23883/IJRTER.2017.3395.FNOIR

Downloads

Published

2025-11-15

How to Cite

[1]
M. Kanala and S. T. Mahaboob, “Foggy Video Restoration Using Guided Filter”, Int. J. Comp. Sci. Eng., vol. 6, no. 8, pp. 847–852, Nov. 2025.

Issue

Section

Research Article