Enhancing Underwater Image Quality Assessment with Influential Perceptual Features
Feifei Liu,
Zihao Huang,
Tianrang Xie
et al.
Abstract: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 effectively combining low-level image properties with high-level semantic features. Traditional UIQA methods predominantly focus on either low-level attributes such as brightness and contrast or high-level semantic conten… Show more
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