Underwater images typically suffer from color deviations and low visibility due to the
wavelength-dependent light absorption and scattering. To deal with these degradation
issues, we propose an efficient and robust underwater image enhancement method, called
MLLE. Specifically, we first locally adjust the color and details of an input image according to
a minimum color loss principle and a maximum attenuation map-guided fusion strategy.
Afterward, we employ the integral and squared integral maps to compute the mean and …

Underwater imaging presents unique challenges due to light attenuation, scattering, and
color distortion, resulting in poor visibility and degraded image quality. In this study, we
propose a novel approach for enhancing underwater images while minimizing color loss
and adapting contrast locally. Our method aims to improve visibility and perceptual quality,
essential for various underwater applications such as marine biology, underwater
archaeology, and offshore inspection. The proposed method starts by addressing color …