Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)

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Single Image Dehazing Using Haze Veil Analysis and CLAHE

Authors
Geeta Babusingh Rajput1, *
1Department of Applied Electronics, Gulbarga University, Kalaburgi, Karnataka, India
*Corresponding author. Email: rajput.gg@gmail.com
Corresponding Author
Geeta Babusingh Rajput
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-196-8_22How to use a DOI?
Keywords
Dehaze; Haze Veil; CLAHE; Contrast Stretching; RGB; YCbCr
Abstract

Images of the outdoor scene appear hazy due to degradation occurred by atmospheric particles (water droplets, dust, etc.) while capturing the image. Hazing creates lots of problem in the areas of surveillance, tracking and navigation and other applications. Dehazing such images is desired in digital photography and computer vision. Thus, to remove it from an image, single image and multiple images defogging methods have been proposed in the literature. In this paper, we present a single image dehazing approach using haze veil analysis. Contrast limited histogram equalization (CLAHE) technique is used to improve the contrast of the image. The proposed method has been evaluated on different foggy/hazy images. The proposed system yielded better results in terms of preserving the finer details and the color quality of the images.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
Series
Advances in Intelligent Systems Research
Publication Date
10 August 2023
ISBN
10.2991/978-94-6463-196-8_22
ISSN
1951-6851
DOI
10.2991/978-94-6463-196-8_22How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Geeta Babusingh Rajput
PY  - 2023
DA  - 2023/08/10
TI  - Single Image Dehazing Using Haze Veil Analysis and CLAHE
BT  - Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
PB  - Atlantis Press
SP  - 278
EP  - 285
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-196-8_22
DO  - 10.2991/978-94-6463-196-8_22
ID  - Rajput2023
ER  -