Face hallucination in low-light environments is an extremely challenging task due to the
significant loss of facial structure and facial texture information. Although cascading image …

Smart ports utilize an extensive array of surveillance cameras to collect and transmit visual
data for timely port monitoring. Nevertheless, complicated and ever-changing lighting …

Enhancing low-light images in computer vision is a significant challenge that requires
innovative methods to improve its robustness. Low-light image enhancement (LLIE) …

Low contrast, noise pollution and color distortion of low-light images tremendously affect
human visual perception. The Retinex and its variant models are widely used for low-light …

Underwater images suffer from color cast and low contrast due to the light absorption and
scattering. Especially when natural light is not sufficient, large dark areas appear in the …

In recent years, the lookup tables (LUTs) with deep learning for image enhancement have
achieved remarkable results with extremely high inference efficiency. However, when …

Scattering and attenuation of light in no-homogeneous imaging media or inconsistent light
intensity will cause insufficient contrast and color distortion in the collected images, which …

The visible-light camera, which is capable of environment perception and navigation
assistance, has emerged as an essential imaging sensor for marine surface vessels in …

Low-light image enhancement is a challenging task due to the limited visibility in dark
environments. While recent advances have shown progress in integrating CNNs and …

U‐Net structure is widely used for low‐light image/video enhancement. The enhanced
images result in areas with large local noise and loss of more details without proper …