Unveiling the hidden depths: advancements in underwater image enhancement using deep learning and auto-encoders

Unveiling the hidden depths: advancements in underwater image enhancement using deep learning and auto-encoders

Underwater images hold immense value for various fields, including marine biology research, underwater infrastructure inspection, and exploration activities. However, capturing high-quality images underwater proves challenging due to light absorption and scattering leading to color distortion, blue...

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Bibliographic Details
Main Authors: Jaisuraj Bantupalli, Amal John Kachapilly, Sanjukta Roy, Pavithra L. K.
Format: Article
Language:English
Published: PeerJ Inc. 2024-11-01
Series:PeerJ Computer Science
Subjects:
Autoencoder
Convolutional neural networks
Deep learning
Underwater image enhancement
Online Access:https://peerj.com/articles/cs-2392.pdf
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