Hyperspectral and multispectral image processing represents a rapidly evolving field in remote sensing, where the integration of high spectral resolution data with enhanced spatial detail provides a ...

Samsung Electronics has launched a mid-tier mobile application processor (AP) with boosted deep learning and image processing capabilities. The Eyxnos 7 9610, aimed at mid-tier smartphones, is made ...

I’ve been fascinated bycomputer image processing for a long time and over the years I’ve thought of lots of uses for it but it’s always been so technical and required such an investment of time that I ...

Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across applications as diverse as communications, ...

Computer vision (CV) and image processing are two closely related fields that utilize techniques from artificial intelligence (AI) and pattern recognition to derive meaningful information from images, ...

Overview: Python dominates computer vision with its vast array of open-source libraries and active community support.These ...

An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to improve imaging stability, accuracy, and automation. By ...

The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...

Machine translation of human languages has been a dream of researchers ever since computers powerful enough for the job became available. That was long before the internet became a thing, and ...