Jan. 14, 2024, 2 p.m. | Dhanshree Shripad Shenwai

MarkTechPost www.marktechpost.com

When the camera and the subject move about one another during the exposure, the result is a typical artifact known as motion blur. Computer vision tasks like autonomous driving, object segmentation, and scene analysis can negatively impact this effect, which blurs or stretches the image’s object contours, diminishing their clarity and detail. To create efficient […]


The post This Paper Explores the Application of Deep Learning in Blind Motion Deblurring: A Comprehensive Review and Future Prospects appeared first on MarkTechPost …

ai shorts analysis application applications artifact artificial intelligence autonomous autonomous driving blind computer computer vision deep learning driving editors pick future impact paper prospects review segmentation staff tasks tech news technology vision

More from www.marktechpost.com / MarkTechPost

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York