Underwater images typically suffer from various quality degradation issues due to the
scattering and absorption of light, but these degraded-quality underwater images are …

Complex physicochemical environmental effects result in the underwater species images'
highly intricate and diverse backgrounds, which poses significant challenges for identifying …

Most recently, deep learning-based visual detection has attracted rapidly increasing
attention paid to marine organisms, thereby expecting to significantly benefit ocean ecology …

In this paper, to solve unique underwater degradation challenges covering low contrast,
color deviation and blurring, etc., a novel semantic attention and relative scene depth …

Abstract Underwater Image Enhancement (UIE) is a crucial preprocessing step for
underwater vision tasks. Addressing the challenge of training supervised deep learning …

Due to the wavelength-dependent light attenuation and scattering, the color of the
underwater organism usually appears distorted. The existing underwater image …

Underwater image enhancement (UIE) is a challenging research task in the field of
computer vision. Although hundreds of UIE algorithms have been proposed, a …

This paper presents a deep learning-based underwater image enhancement method
supported by a classical image processing technique. The proposed method includes an …

The industrialized aquaculture with recirculating water systems has gained increasing
attention and rapid development in recent years. However, the existing underwater …

The optical characteristics of underwater environments often result in distorted underwater
images, which makes it difficult to meet the needs of complex underwater environment …