We are happy to announce the release of our new physics-inspired low-light image enhancement algorithm VEViD to PhyCV. VEViD, or Vision Enhancement via Virtual Diffraction and Coherent Detection, was recently introduced in a publication in eLight. The algorithm...
We are proud to introduce a powerful low-light enhancement algorithm, VEViD. It builds on more than two decades of research in optical physics in our laboratory and has direct applications in augmented reality, night-time driving, biology, and space exploration. The...
Check out our latest publication entitled “Physics-AI Symbiosis” that just appeared as an invited paper in Machine Learning: Science and Technology! As a mix of perspective and review, the paper explores emerging ideas in which physics is blended with AI...
We are happy to announce the release of the first Physics-inspired Computer Vision Library: PhyCV. PhyCV has a new class of computer vision algorithms that emulates the propagation of light through a physical medium with natural and engineered diffractive properties...
We are happy to announce that we have made public the code for our latest physics-inspired algorithm which detects edges and their orientations in digital images at various scales. The algorithm, called PAGE, is based on the diffraction equations of optics and...
Professor Bahram Jalali has been elected to the National Academy of Engineering for his contributions to silicon photonics, high time-resolution scientific instruments, and biomedical imaging. For details, please refer to the official announcement from Samueli School...
