Underwater object detection is one of the most challenging research topics in computer
vision technology. The complex underwater environment makes underwater images suffer …

Underwater computer vision has attracted increasing attention in the research community
due to the recent advances in underwater platforms such as of rovers, gliders, autonomous …

Underwater images often suffer from color distortion and visibility degradation due to the
light absorption and scattering. Existing methods utilize various assumptions/constrains to …

Achieving subjective and objective quality assessment of underwater images is of high
significance in underwater visual perception and image/video processing. However, the …

We develop a novel edge-preserving filtering retinex algorithm for single underwater image
enhancement, in which gradient domain guided image filtering (GGF) priors of reflection and …

Underwater images, which have low contrast and visibility as a result of selective attenuation
based on the wavelength of the light passing through water, needs some corrections to …

Marine object detection is an appealing but challengeable task in computer vision. Even
though recent popular object detection algorithms perform well on common classes, they …

Due to light absorption and scattering underwater images suffer from low contrast, color
distortion, blurred details, and uneven illumination, which affect underwater vision tasks and …

Due to refraction, absorption, and scattering of light by suspended particles in water,
underwater images are characterized by low contrast, blurred details, and color distortion. In …

Due to the inevitable wavelength‐dependent light absorption and forward/backward
scattering, underwater images usually suffer severe color distortion and are hazy. It has …