Communications of the ACM
Xiaomi's AI Restores Details, Enhances Colors in Poorly Exposed Photos
Researchers at Chinese smartphone company Xiaomi have devised an artificial intelligence system that corrects details and colors in poorly exposed photos.
Credit: Xiaomi
Researchers at Chinese smartphone company Xiaomi have devised an artificial intelligence (AI) system that corrects details and colors in poorly exposed photos by segmenting the image into multiple "sub-images," each associated with a local exposure, that it consequently uses to retouch the original input photo.
According to the team, "Inspired by luminosity masks usually applied by professional photographers...we develop[ed] a novel algorithm for learning local exposures with deep reinforcement adversarial learning" via a generative adversarial network.
Following image segmentation, the DeepExposure AI concatenates and processes the input low-resolution, sub-images, and direct fusion through a policy network that computes each's local and global exposures.
Afterwards, a value function assesses overall quality and the sub-images are combined with the input image.
DeepExposure was trained in Google's TensorFlow framework, and it has outperformed state-of-the-art algorithms in key metrics, consistently restoring most details and styles in original images while enhancing brightness and colors.
From VentureBeat
View Full Article
Abstracts Copyright © 2018 Information Inc., Bethesda, Maryland, USA
No entries found