Aerial imagery is widely utilized in visual data dependent applications such as military
surveillance, earthquake assessment, etc. For these applications, minute texture in the aerial …

This survey article is concerned with the emergence of vision augmentation AI tools for
enhancing the situational awareness of first responders (FRs) in rescue operations. More …

Current video enhancement approaches have achieved good performance in specific rainy,
hazy, foggy, and snowy weather conditions. However, they currently suffer from two …

Automated surveillance is widely opted for appli-cations such as traffic monitoring, vehicle
identification, etc. But, various weather degradation factors such as rain and snow streaks …

Existing deep-learning-based methods for nighttime video deraining rely on synthetic data
due to the absence of real-world paired data. However, the intricacies of the real world …

Extracting adequate contextual information is an important aspect of any image inpainting
method. To achieve this, ample image inpainting methods are available that aim to focus on …

The presence of hazy particles affects visibility and disturbs the color balance in the
captured videos. Thus, video dehazing is a challenging pre-processing step for high-level …

Hazy weather conditions feed serious haze effects, such as color and visibility degradations
in the captured videos. Extensive research on video dehazing has been carried out …

The propagation of light through turbulent media results in refractive index fluctuations,
causing distortion and blurring of images captured by imaging equipment. Consequently, it …

Aerial image haze removal deals with improving the visibility and quality of images captured
from aerial platforms, such as drones and satellites. Aerial images are commonly used in …