Deep Learning Based Filtering Algorithm for Noise Removal in Underwater Images

Deep Learning Based Filtering Algorithm for Noise Removal in Underwater Images

Under-water sensing and image processing play major roles in oceanic scientific studies. One of the related challenges is that the absorption and scattering of light in underwater settings degrades the quality of the imaging. The major drawbacks of underwater imaging are color distortion, low contra...

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Bibliographic Details
Main Authors: Aswathy K. Cherian, Eswaran Poovammal, Ninan Sajeeth Philip, Kadiyala Ramana, Saurabh Singh, In-Ho Ra
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Water
Subjects:
bilateral filter
CLAHE
image reconstruction
image resolution
trigonometric–Gaussian filter
Online Access:https://www.mdpi.com/2073-4441/13/19/2742

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