Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)

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Under Water Image Restoration and Enhancement Using Image Processing in MATLAB

Authors
Ramesh Deshpande1, *, B. R. Sanjeeva Reddy1, M. Swetha1, Marri Nikhitha1, N. Poojitha1, *
1Department of ECE, B V Raju Institute of Technology, NarsapurTelangana, Medak Dt, 502313, India
*Corresponding author. Email: ramesh.deshpande@bvrit.ac.in
*Corresponding author. Email: 19211a04c0@bvrit.ac.in
Corresponding Authors
Ramesh Deshpande, N. Poojitha
Available Online 9 November 2023.
DOI
10.2991/978-94-6463-252-1_87How to use a DOI?
Keywords
Image restoration; underwater image restoration; DCP; Filtering methods Application
Abstract

Because of the circumstances of diffused illumination and light assimilation, underwater photographs typically encountered a modest difference in color saturation due to color immersion. When underwater photos with similar shade colors are captured under different lighting situations, restoring and enhancing such images is difficult. Several different common approaches may be used to increase the quality of submerged photographs; however, these solutions are only sometimes successful. The underwater image may be created as a flawless picture and a blend of background light, with that of each sensor tightly set. The studies were primarily focused on enhancing image quality and minimizing noise. Several ways have been proposed in recent years to increase the visibility of undersea pictures (UI) by reducing haze, and certain color correction techniques have been presented to improve the impression of UIs. This study provides an overview of recent approaches to underwater picture restoration.

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 Second International Conference on Emerging Trends in Engineering (ICETE 2023)
Series
Advances in Engineering Research
Publication Date
9 November 2023
ISBN
978-94-6463-252-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-252-1_87How 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  - Ramesh Deshpande
AU  - B. R. Sanjeeva Reddy
AU  - M. Swetha
AU  - Marri Nikhitha
AU  - N. Poojitha
PY  - 2023
DA  - 2023/11/09
TI  - Under Water Image Restoration and Enhancement Using Image Processing in MATLAB
BT  - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
PB  - Atlantis Press
SP  - 865
EP  - 872
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-252-1_87
DO  - 10.2991/978-94-6463-252-1_87
ID  - Deshpande2023
ER  -