Have photographs ever really told the truth? One hundred and fifty years before today's controversial AI chatbots and deep fakes, photographers created remarkable image manipulations. Here are 10 ...

In this paper, we tackle the high computational overhead of transformers for lightweight image super-resolution. (SR). Motivated by the observations of self-attention's inter-layer repetition, we ...

The field of optical image processing is undergoing a transformation driven by the rapid development of vision-language models (VLMs). A new review article published in iOptics details how these ...

New York Gov. Kathy Hochul on Thursday signed what her administration called the nation’s first AI bills designed to both protect consumers and increase transparency in the film industry. The New York ...

Abstract: Convolution processing plays a pivotal role in convolutional neural networks (CNNs), which are widely utilized in image recognition, signal processing, and other applications that demand ...

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 ...

The tremendous growth of deep learning models, especially the success of generative AI and foundation models, has led to their deployment in several critical sectors, including biometric recognition, ...

Here’s something fun. Our hacker [Willow Cunningham] has sent us a copy of their homework. This is their final project for the “ECE 574: Cluster Computing” course at the University of Maine, Orono. It ...

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 ...