Texas A&M University's Engineering Experiment Station: Smart Algorithm Cleans Up Images By Searching for Clues Buried in Noise
February 20, 2021
February 20, 2021
COLLEGE STATION, Texas, Feb. 20 (TNSJou)-- The Texas A&M University's Engineering Experiment Station issued the following news:
In a new study published in Nature Machine Intelligence, researchers at Texas A&M University have unveiled a machine learning-based algorithm that can reduce graininess in low-resolution images and reveal new details that were otherwise buried within the noise.
"Images taken with low-powered beams can be noisy, which can hide inter . . .
In a new study published in Nature Machine Intelligence, researchers at Texas A&M University have unveiled a machine learning-based algorithm that can reduce graininess in low-resolution images and reveal new details that were otherwise buried within the noise.
"Images taken with low-powered beams can be noisy, which can hide inter . . .