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A. El-Ghazaw

dblp:116/9234 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1997
—ORCID · none

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

Systems, architecture and hardware · 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%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Parallel and multicore computing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing
image registration
0.011997
Wavelet-Based Image Registration on Parallel Computers · SC 1997
Parallel and multicore computing › parallel algorithms
parallel image processing
0.011997
Wavelet-Based Image Registration on Parallel Computers · SC 1997

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

wavelet transform · 0.0
YearPublicationVenuePosition
1997 Wavelet-Based Image Registration on Parallel Computers
abstract
Digital image registration is very important in many applications, such as medical imagery, robotics, visual inspection, and remotely sensed data processing. NASA s Mission To Planet Earth (MTPE) program will be producing enormous Earth global change data, reaching hundreds of Gigabytes per day, that are collected form different spacecrafts and different perspectives using many sensors with diverse resolutions and characteristics. The analysis of such data requires integration, therefore, accurate registration of these data. Image registration is defined as the process which determines the most accurate relative orientation between two or more images, acquired at the same or different times by different or identical sensors. Registration can also provide the absolute orientation between an image and a map.
A. El-Ghazaw, Prachya Chalermwat
SC1