Restoration and resolution enhancement of a single image from a vibration-distorted image sequence

1999 ◽  
Author(s):  
Adrian Stern ◽  
Elad Kempner ◽  
Avi Shukrun ◽  
Norman S. Kopeika
Keyword(s):  
Resolution Enhancement ◽  
Image Sequence ◽  
Single Image ◽  
Distorted Image

5239266 MRI using variable imaging parameter(s) within a single image sequence

1994 ◽  
Vol 12 (5) ◽  
pp. XI ◽  
Author(s):  
Leon Kaufman ◽  
David M Kramer ◽  
John M Coleman
Keyword(s):  
Image Sequence ◽  
Single Image ◽  
Imaging Parameter

scholarly journals Temporally Consistent Edge-Informed Video Super-Resolution (Edge-VSR)

2021 ◽  
Vol 6 (1) ◽  
pp. 1-6
Author(s):  
Ayush Singh ◽  
Mehran Ebrahimi
Keyword(s):  
Video Sequence ◽  
Structural Information ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
Single Image ◽  
Resolution Method ◽  
Edge Information ◽  
Image Super Resolution ◽  
Resolution Algorithm ◽  
Single Image Super Resolution

Resolution enhancement of a given video sequence is known as video super-resolution. We propose an end-to-end trainable video super-resolution method as an extension of the recently developed edge-informed single image super-resolution algorithm. A two-stage adversarial-based convolutional neural network that incorporates temporal information along with the current frame's structural information will be used. The edge information in each frame along with optical flow technique for motion estimation among frames will be applied. Promising results on validation datasets will be presented.

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