A Fast And Effective Method For Real-Time Image And Video Dehazing Using Guided Filter

Authors(2) :-P. Sreekanth, A. M. Gunasekhar

In the present period, because of various climate conditions the pictures that are caught in these conditions gets debased because of the nearness of haze ,murkiness, rain et cetera. Pictures of scenes caught in awful climate have poor differentiations and hues. This may cause trouble in recognizing the articles in the caught cloudy pictures. Because of cloudiness there is an inconvenience to numerous PC vision applications as it decreases the perceivability of the scene. Beforehand extraordinary methods have been utilized to expel the haze and dimness from the Images. Be that as it may, this technique neglects to recognize the pictures with frigid ground. This paper introduces the mist and cloudiness evacuation strategy utilizing guided channel. In this video is taken as information and preparing should be possible on that video. environmental light computed lastly utilizing guided channel .the haze and fog expelled from the video .Our technique yields preferred execution over alternate strategies and gives exact and legitimate outcomes.

Authors and Affiliations

P. Sreekanth
M.Tech Scholar, Department of Digital Electronics & Communication Systems, Sree Rama Engineering and Technology, Tirupati, Andhra Pradesh, India
A. M. Gunasekhar
Associate Professor, Department of Digital Electronics & Communication Systems, Sree Rama Engineering and Technology, Tirupati, Andhra Pradesh, India

Fog, Haze, Bilateral filter, Guided filter, Video

  1. Wei Sun and Han Long, A New Fast Single-Image Defog Algorithm, Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on. IEEE, 2013
  2. Tripathi A.K and S. Mukhopadhyay,Single image fog removal using bilateral filter, Signal Processing, Computing and Control (ISPCC), 2012 International Conference on. IEEE, 2012.
  3. Chen and Mengyang, Single image defogging, Network Infrastructure and Digital Content, (NIDC), 2009 International Conference on. IEEE, 2009.
  4. T. L. Economopoulosa, P. A. Asvestasa, and G. K. Matsopoulos, Separate change of pictures using partitioned iterated work structures, Image and sight enlisting, Vol. 28, No. 1, pp. 45-54, 2010.
  5. N. Hautiere, J. P. Tarel, D. Aubert, and E. Dumont, Stupor separate increment of examination by slant ratioing at evident edges, Image Analysis and Stereology Journal, Vol. 27, No. 2, pp. 87-95, 2008.
  6. Narasimhan, S.G., Nayar, S.K.: Vision and the atmosphere. Int. J. Comput. Vis. 48(3), 233–254 (2002)
  7. Narasimhan, S.G., Nayar, S.K.: Shedding light on the weather. In: International Conference on Computer Vision and, Pattern Recognition, pp. 665–672 (2003)
  8. Narasimhan, S.G., Nayar, S.K.: Contrast restoration of weather degraded images. IEEE Trans. Pattern Anal. Mach. Intell. 25(6), 713–724 (2003)
  9. Narasimhan, S.G., Nayar, S.K.: Interactive (De) weathering of an image using physical models. In: IEEE Workshop on Color and Photometric Methods in Computer Vision, in conjunction with ICCV (2003)

Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 173-180
Manuscript Number : CSEIT183119
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

P. Sreekanth, A. M. Gunasekhar, "A Fast And Effective Method For Real-Time Image And Video Dehazing Using Guided Filter", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.173-180, January-February.2018
URL : http://ijsrcseit.com/CSEIT183119

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