Image contrast often significantly suffers from degradation due to haze, fog or mist spread in atmosphere, and adds more atmospheric light that harms the visibility of image. In this paper, various methods for reduction of fog have been analyzed and compared. The methods described in this paper are immune to the bad weather conditions including haze, fog, mist and other visibility issues caused by aerosols. Furthermore, the most optimum method is determined for processing RGB images.
Eram Khan : is pursuing bachelor of engineering in Electronics and Telecommunication stream from Army Institute of Technology, Savitribai Phule Pune University. She presented paper in 15th IEEE International Conference on Communication and Signal Processing-ICCSP’16 and International Conference on Soft Computing Technique & Implementation.
Pramila Singh : is pursuing bachelor of engineering in Electronics and Telecommunication branch from Army Institute of Technology, Savitribai Phule Pune University. Her research interests include Embedded System and Digital Image processing
Hema Upreti : is pursuing bachelor of engineering in Electronics and Telecommunication stream from Army Institute of Technology, Savitribai Phule Pune University. She presented paper on “Analysis of Equivalent Series Resistance of Ultracapacitor” IEEE International Conference for Convergence of Technology (I2CT 2014) and “Introduction to the Zigzag modeled Ultracapcitor” IEEE Xplorer. She also presented paper on “Optimization of Electrode Parameters of stacked structured ultracapacitor” in 4th International Conference on Advances in Research (ICAER 2013) and has publication on Energy procedia, Volume 54 2014,
Vision surveillance systems and other such applications should be able to overcome the constraints caused due to bad weather. In many cases, fog and mist blurs the clarity of the recorded video. The video does not define details, which may cause severe security lapses. This paper attempts to understand and exploit the manifestations of whether. It compares various existing algorithms for fog reductions as well as characterizes their key advantages as well as shortcomings. Various methods image defogging technique proposed by Fattal, Tarel, Tan and He et al are compared with the proposed improved algorithm. The existing model in atmospheric optics is studied and a new approach is devised by optimizing the threshold value for atmospheric value and patch size and by using image enhancement technique. The output hence obtained has defined objects and object boundaries which may also have applications in real time sports coverage and news broadcast. However, in the proposed algorithm, the soft matting technique used for redefining the transmission is very time consuming, so the utility of algorithm is limited to images of small size.
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