This paper is published in Volume-10, Issue-6, 2024
Area
Machine Learning
Author
Tamanna Pawar, Shridevi Soma
Org/Univ
Poojya Dodappa Appa College of Engineering, Kalaburagi, Karnataka, India
Keywords
Guided-Filter, Convolutional Neural Network, Dehazing, Marine, Underwater, Machine Learning, Night Light Fog
Citations
IEEE
Tamanna Pawar, Shridevi Soma. A Survey on Improved Dehazing System for Underwater Night Light Fog Images Using Machine Learning Algorithm, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Tamanna Pawar, Shridevi Soma (2024). A Survey on Improved Dehazing System for Underwater Night Light Fog Images Using Machine Learning Algorithm. International Journal of Advance Research, Ideas and Innovations in Technology, 10(6) www.IJARIIT.com.
MLA
Tamanna Pawar, Shridevi Soma. "A Survey on Improved Dehazing System for Underwater Night Light Fog Images Using Machine Learning Algorithm." International Journal of Advance Research, Ideas and Innovations in Technology 10.6 (2024). www.IJARIIT.com.
Tamanna Pawar, Shridevi Soma. A Survey on Improved Dehazing System for Underwater Night Light Fog Images Using Machine Learning Algorithm, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Tamanna Pawar, Shridevi Soma (2024). A Survey on Improved Dehazing System for Underwater Night Light Fog Images Using Machine Learning Algorithm. International Journal of Advance Research, Ideas and Innovations in Technology, 10(6) www.IJARIIT.com.
MLA
Tamanna Pawar, Shridevi Soma. "A Survey on Improved Dehazing System for Underwater Night Light Fog Images Using Machine Learning Algorithm." International Journal of Advance Research, Ideas and Innovations in Technology 10.6 (2024). www.IJARIIT.com.
Abstract
The absorption of light in water and scattering leads to the degradation of images captured at night under the water. This degradation causes low brightness, diminished color, and distinguishable objects in the image affected by the night light. Many researchers worked to improve the images underwater during daylight using contrast stretching and the white balance method. The majority of investigations were done using white balance to reduce the greenish effect due to absorption of higher wavelength, which is reduced when propagated through water, this survey presents many works like guided filter transmission used as an edge-preserving smoothly operator and also “CLAHE” (“contrast limited adaptive histogram equalization”) & RGB model. These methods helped to change the intensity of the dehazed image and the level of contrast in the image. All these methodologies developed by the previous researchers were on the dehazing of daylight fog images. Hence, there is a scope for developing an improved dehazing of night light fog images.