Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...

A recent review suggests new temperature measuring technologies could make that process much simpler, amid growing agricultural challenges fueled by fluctuating climates. Before your favorite produce ...

This project enhances X-ray images using image processing techniques to improve a pneumonia classifier's accuracy from 55% to 95%. It addresses noise, warping, contrast/brightness issues, and missing ...

Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) ...

Abstract: The major recent advances in autonomous driving are mostly based on recent progress in object detection methods. Object detection broadly depends on the quality of the cameras and sensors ...

Residents of a village in the United Kingdom are using a thermal imaging camera in an effort to lower their energy bills. The camera is able to identify where homes may be losing heat, enabling ...

This blog was originally published by Panther here. Written by Kartikey Pandey, Panther. How modern teams can automate security analysis at scale in the era of everything-as-code. TL;DR: Adopt a ...

Abstract: Identification of objects in an image plays a crucial role in UAVs, self-autonomous vehicles, and other applications. It is vital to have the capability to navigate and identify objects at ...