Advancements in Efficient Underwater Image Restoration Using ETransMapNet for Enhanced Dehazing

Advancements in Efficient Underwater Image Restoration Using ETransMapNet for Enhanced Dehazing

Underwater (UW) information is essential for advancing human exploration and utilization of the underwater world, including fields such as UW Paleology, UW Target Detection, UW Object Tracking, UW Surveillance, and related activities. Visual media like movies and images enhance our natural understan...

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Bibliographic Details
Main Authors: C. P. Indumathi, Haya Mesfer Alshahrani, N. A. Natraj, C. H. Sarada Devi
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2025-01-01
Series:Tehnički Vjesnik
Subjects:
Adaptive Bilateral Filtering (ABF)
Convolutional Neural Network (CNN)
ETransMapNet
transmission map denoising
underwater image restoration
Online Access:https://hrcak.srce.hr/file/478040
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