Mist Removal Using Fast Algorithm Based on Linear Operator

Authors

  • Dr. N. Geetha Rani  Associate Professor, Department of ECE, Ravindra college of Engineering for Women, Kurnool, Andhra Pradesh, India
  • K. Siva Lakshmi  Department of ECE, Ravindra college of Engineering for Women, Kurnool, Andhra Pradesh, India
  • G. Deepika  Department of ECE, Ravindra college of Engineering for Women, Kurnool, Andhra Pradesh, India
  • Ch. Aparna  Department of ECE, Ravindra college of Engineering for Women, Kurnool, Andhra Pradesh, India
  • B. Chitrika Naidu  Department of ECE, Ravindra college of Engineering for Women, Kurnool, Andhra Pradesh, India

DOI:

https://doi.org//10.32628/IJSRSET229263

Keywords:

Markov Irregular Fields (MRFs), Closest Neighbor Fields (NNFs), ICA and Markov Irregular Field (MRF).

Abstract

In hazy or foggy weather conditions image quality gets degraded which affects the performance of outdoor computer vision system. In this project a fast algorithm is proposed based on linear transformation by assuming that a linear relationship exists in the minimum channel between the hazy image and the haze-free image for dehazing single image. Firstly, the principle of linear transformation is analyzed and then the method of estimating a medium transmission map is elaborated & the weakening strategies are introduced to solve the problem of brightest areas of distortion. To accurately estimate the atmospheric light, an additional channel method is proposed based on quad-tree subdivision. In this method, average grays and gradients in the region are employed as assessment criteria. Finally, the haze-free image is obtained using the atmospheric scattering model.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2022-04-30

Issue

Volume 9, Issue 2, March-April-2022

Section

Research Articles

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How to Cite

[1]
Dr. N. Geetha Rani, K. Siva Lakshmi, G. Deepika, Ch. Aparna, B. Chitrika Naidu, " Mist Removal Using Fast Algorithm Based on Linear Operator, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 2, pp.339-347, March-April-2022. Available at doi : https://doi.org/10.32628/IJSRSET229263