Enhancing Underwater Image Quality Assessment with Influential Perceptual Features

Enhancing Underwater Image Quality Assessment with Influential Perceptual Features

In the multifaceted field of oceanic engineering, the quality of underwater images is paramount for a range of applications, from marine biology to robotic exploration. This paper presents a novel approach in underwater image quality assessment (UIQA) that addresses the current limitations by effect...

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Bibliographic Details
Main Authors: Feifei Liu, Zihao Huang, Tianrang Xie, Runze Hu, Bingbing Qi
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Electronics
Subjects:
image quality assessment
vision transformer
low-level
feature selection
Online Access:https://www.mdpi.com/2079-9292/12/23/4760

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