Video Restoration Based on Linear Transformation Method For Real Time Fog –Free Vision In Vehicles

Authors

  • Arunima. A. R
  • Vishnu. V. S

DOI:

https://doi.org/10.37591/joosdt.v5i1.1603

Abstract

The detecting problem of day time fog and calculating visibility distances is the main focus of this paper. An original linear transformation method has been developed for achieving the goal. The solution mentioned here, features the benefit of using a single video camera output. From the camera output the sky region and the fog infected region are identified. The fog infected region is further applied quad-tree subdivision, based on this, an additional method for linear channel is introduced and the calculation of atmospheric light is carried out. Comparing with the other method the linear transformation method requires less time consumption and provides high accuracy. Initially the transformation of the foggy part of the video to the gray scale and gradient scale is taken place then, from the transformed gray and gradient video fragments the transmission map is estimated and further assessment criteria are preceded. By comparing with the previously used algorithms for video processing, the algorithm introduced here is faster. The introduced video processing needs very less requirements for the implementation in vehicles.

Keywords: Fog, image enhancement, video analysis, video processing, video reconstruction, video restoration, weather conditions

Cite this Article
Arunima A.R, Vishnu V.S. Video Restoration Based on Linear Transformation Method for Real-Time Fog: Free Vision in Vehicles. Journal of Operating Systems Development & Trends. 2018; 5(1): 34–40p.

Downloads

Published

2018-07-16

Issue

Vol. 5 No. 1 (2018)

Section

Review Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.