We present a novel method for underwater image restoration, which combines a
Comprehensive Imaging Formation Model with prior knowledge and unsupervised …

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

Due to wavelength-dependent light absorption and scattering, underwater images often
appear with a colour cast and blurry details. Most existing deep learning methods utilize a …

Due to the selective attenuation of light in water, captured underwater images exhibit poor
visibility and cause considerable challenges for vision tasks. The structural and statistical …

Light traveling through water results in strong scattering across color channels, restricting
visibility in underwater images. Many cutting-edge underwater image enhancement …

Underwater images suffer from severe distortion, which degrades the accuracy of object
detection performed in an underwater environment. Existing underwater image …

Due to the light absorption and scattering induced by the water medium, underwater images
usually suffer from some degradation problems, such as low contrast, color distortion, and …

This research focuses on the discovery and localization of hidden objects in the wild and
serves unmanned systems. Through empirical analysis, infrared and visible image fusion …

Single underwater image enhancement remains a challenging ill-posed problem, even with
advanced deep learning methods, due to the significant information degeneration and …

Multi-exposure image fusion (MEF) targets to integrate multiple shots with different
exposures and generates a single higher dynamic image than each. Existing deep learning …