Adversarial examples—images subtly altered to mislead AI systems—are used to test the reliability of deep neural networks.

Lens Filters This oddly-shaped lens filter creates motion blur without the need for a slow shutter speed for a mix of sharpness and motion Lenses The best lenses for the Canon EOS R50: this camera is ...

Abstract: The Spatial Acoustics Library for MATLAB (SALM) is a computational toolkit for efficient spatial audio signal processing. Its principal contribution is providing a unified and extensible ...

Abstract: This paper used Matlab software to process and analyze images, focusing on the processing effects of different filtering methods on different types of noise. To verify the effectiveness of ...

UD's Signal and Image Processing Lab is designed to support graduate and undergraduate research in the areas of signal and image processing. The lab provides office space for graduate students and has ...

Introduction: Quantitative computed tomography (qCT) provides detailed spatial assessments of lung structure and function, while electrical impedance tomography (EIT) offers high temporal resolution ...

Carla is a writer from Peñuelas, Puerto Rico, now based in Atlanta. She’s an Emory alum with both a BA and MA in English, but more importantly, she’s a Pisces with lots of opinions about video games.

The Allen Telescope Array, Hat Creek Radio Observatory. Credit: Alexander Pollak. Radio interferometry is a technique in radio astronomy where signals from two or more radio telescopes are combined to ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Multiscale and multimodal image fusion is a challenge derived from the diversity of ...

Several Pixel users are reporting discrepancies between their camera viewfinder previews and the final processed photos. Most of the complaints focus on over-processed images with inaccurate color ...