Although convolutional neural networks (CNNs) have been proposed to remove adverse
weather conditions in single images using a single set of pre-trained weights, they fail to …

Weather degraded conditions such as rain, haze, snow, etc. may degrade the performance
of most computer vision systems. Therefore, effective restoration of multi-weather degraded …

Document image restoration is a crucial aspect of Document AI systems as the quality of
document images significantly influences the overall performance. Prevailing methods …

Image processing is a very fundamental technique in the field of low-level vision. However,
with the development of deep learning over the past five years, most low-level vision …

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 …

Though deep learning-based surgical smoke removal methods have shown significant
improvements in effectiveness and efficiency, the lack of paired smoke and smoke-free …

In real-world environments, outdoor imaging systems are often affected by disturbances
such as rain degradation. Especially, in nighttime driving scenes, insufficient and uneven …

Real-world vision tasks frequently suffer from the appearance of unexpected adverse
weather conditions, including rain, haze, snow, and raindrops. In the last decade …