EDGAN: motion deblurring algorithm based on enhanced generative adversarial networks

Yong Zhang; Yong Shao; Xi Zhang; Li Li; W.H. Ip; Kai Leung Yung

doi:10.1007/s11227-020-03189-y

ScienceGate Book Chapters

JOURNAL ARTICLE

EDGAN: motion deblurring algorithm based on enhanced generative adversarial networks

Yong Zhang Yong Shao Xi Zhang Li Li W.H. Ip Kai Leung Yung

Year: 2020 Journal: The Journal of Supercomputing Vol: 76 (11)Pages: 8922-8937 Publisher: Springer Science+Business Media

DOI: 10.1007/s11227-020-03189-y

Get Full-Text PDF Get Analytical Report

Keywords:

Deblurring Computer science Adversarial system Generative grammar Motion (physics) Generative adversarial network Artificial intelligence Algorithm Computer vision Image (mathematics) Image restoration Image processing

Metrics

Cited By

0.94

FWCI (Field Weighted Citation Impact)

Refs

0.75

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Video Stabilization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

EDGAN: motion deblurring algorithm based on enhanced generative adversarial networks

Metrics

Citation History

Topics

Related Documents

Blind Motion Deblurring Based on Generative Adversarial Networks

Image deblurring algorithm based on improved generative adversarial networks

Research on Image Motion Deblurring Based on Generative Adversarial Networks

Blind motion deblurring with cycle generative adversarial networks

Super-Resolution Deblurring Algorithm for Generative Adversarial Networks