Public resources and services (eg, datasets, training platforms, pre-trained models) have
been widely adopted to ease the development of Deep Learning-based applications …

Process analytical technology (PAT) plays a crucial role in optimizing crystalline powder
product qualities, improving process stability, and reducing experimental costs by enabling …

Even though thermal infrared images captured during night time are available in some
publicly available datasets, such images acquisitioned in adverse weather conditions such …

In the field of image processing, analyzing fog-affected images is challenging, as their
visibility is degraded. In the absence of state-of-the-art image processing techniques to …

This study proposes a method for vehicle logo detection and recognition to detect missing
and inaccurate vehicle marks under complex lighting conditions. For images acquired in …

The relative rotation angle between two cabins should be automatically and precisely
obtained during automated assembly processes for spacecraft and aircraft. This paper …

Quality of outdoor images are often degraded under bad weather conditions by the
extensive presence of suspended particles in the atmosphere such as fog and haze …

Often the images of outdoor scenes are drastically altered by the atmospheric particles and
loses the contrast and gradient information. Accurate detection of image features from …

The availability of extremely high computational power at an affordable cost is giving shape
to many new computer vision challenges. The real-time deweathering of images/videos is …

Extensive presence of fog in outdoor images severely alters the scene appearance and
hence reduces the visibility. Image processing based defogging algorithms are used to …