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Danny Keren

dblp:145/1481 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1988
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing
image enhancement		 0.011988
Image sequence enhancement using sub-pixel displacements · CVPR 1988
Image and video processing
image registration		 0.011988
Image sequence enhancement using sub-pixel displacements · CVPR 1988
Image and video processing › image registration
subpixel registration		 0.011988
Image sequence enhancement using sub-pixel displacements · CVPR 1988
Image and video processing
super-resolution		 0.011988
Image sequence enhancement using sub-pixel displacements · CVPR 1988
Image and video processing › image restoration
image denoising		 0.011988
Image sequence enhancement using sub-pixel displacements · CVPR 1988

Methods — techniques the papers use, named apart from their topics

subpixel displacement estimation · 0.0
YearPublicationVenuePosition
1988 Image sequence enhancement using sub-pixel displacements
abstract
Given a sequence of images taken from a moving camera, they are registered with subpixel accuracy in respect to translation and rotation. The subpixel registration allows image enhancement with respect to improved resolution and noise cleaning. Both the registration and the enhancement procedures are described. The methods are particularly useful for image sequences taken from an aircraft or satellite where images in a sequence differ mostly by translation and rotation. In these cases, the process results in images that are stable, clean, and sharp.>
Danny Keren, Shmuel Peleg, Rafi Brada
 CVPR1
1987 Improving image resolution using subpixel motion
Shmuel Peleg, Danny Keren, Limor Schweitzer
 Pattern Recognit. Lett.2