Dynamic obstructions such as trees in the road environment can affect the quality of images
captured by industrial cameras. In order to improve the quality of image acquisition in high …

Image enhancement increases the perceived quality and improves the experience of
viewers by processing images that are difficult to see, such as due to low light or …

In this study, an image processing-based deep learning approach for short-term forecast of
solar radiation has been developed. For this purpose, firstly, cloud movements occurred …

How to improve the high resolution and remove the noise of composite infrared thermal
wave detection image have become important research topics in machine vision. Therefore …

This paper presents a solution to the cloud removal problem, based in a recently developed
image fusion methodology consisting in applying a 1-D pseudo-Wigner distribution (PWD) …

Abstract Unmanned Aircraft Systems (UAS) are becoming indispensable tools for a huge
number of aeronautic tasks, such as data collection and wide area surveillance. Currently …

Clouds inhibit the features of images such as color and brightness in the image regions. The
light diffusion, scattering and attenuation of clouds create blur effect or affect the contrast of …

The traffic forecast system is critical in intelligent transportation system. Vehicular Ad-hoc
Networks will play a significant role in future intelligent transportation system (VANET). On …

Short-term forecasting of cloud distribution within a sequence of all-sky images is an
important issue in meteorological area. In this work, a cloud image forecasting system is …

Abstract As the Internet of Things (IoT) is maturing as a technology, innovative and cross-
domain IoT applications have seen smart cities being conceived and designed across the …