What is it about?
Underwater images are used for many purposes like detecting underwater petrol pipelines, fish classification, mineral exploration, underwater robotics and navigation etc., . But the images taken under the water are often noisy and not clear. Our work summarises the major algorithms used for clearing the noise and also results of many algorithms, to give an idea to the reader about the feasible algorithm to work and improve on.
Photo by Marius Masalar on Unsplash
Why is it important?
Our work puts together all the major algorithms and their results, which reduces the time for surfing the algorithms, also helps the reader to compare and figure out the feasible algorithm and start working on it.
Read the Original
This page is a summary of: REVIEW ON UNDERWATER IMAGE RESTORATION ALGORITHMS, IET Image Processing, June 2019, the Institution of Engineering and Technology (the IET), DOI: 10.1049/iet-ipr.2019.0117.
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