In a new paper published in eLight, a team of scientists led by Professor Bahram Jalali and graduate student Callen MacPhee from UCLA have developed a new algorithm for performing computational imaging tasks. The paper "VEViD: Vision Enhancement via Virtual diffraction and coherent Detection" uses a physics-based algorithm to correct for poor illumination and low contrast in images captured in low-light conditions.
from News on Artificial Intelligence and Machine Learning https://ift.tt/6j58SD1
Home
machine-learning-ai-news
News on Artificial Intelligence and Machine Learning
VEViD: A vision enhancement algorithm based on physics
- Blogger Comment
- Facebook Comment
Subscribe to:
Post Comments
(
Atom
)
0 comments:
Post a Comment