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Eun Suk Kim

dblp:27/3761 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 1

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 · 50% Audio and music processing · 50%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › image restoration
denoising		 0.011999
Image enhancement based on signal subspace approach · IEEE Trans. Image Process. 1999
Image and video processing
image enhancement		 0.011999
Image enhancement based on signal subspace approach · IEEE Trans. Image Process. 1999
Audio and music processing › speech enhancement
noise reduction		 0.011999
Image enhancement based on signal subspace approach · IEEE Trans. Image Process. 1999
Audio and music processing › acoustic signal processing › audio signal reconstruction › audio restoration
subspace-based noise reduction		 0.011999
Image enhancement based on signal subspace approach · IEEE Trans. Image Process. 1999

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

signal subspace method · 0.0
YearPublicationVenuePosition
2005 Estimating Parameters in Repairable Systems Under Accelerated Stress
Won Young Yun, Eun Suk Kim
 ICCSA (4)2
1999 Image enhancement based on signal subspace approach
abstract
This paper describes a block-by-block basis image enhancement algorithm which uses the signal subspace method to enhance images corrupted by uncorrelated additive noise. The enhancement is performed by eliminating the noise components in the noise subspace and estimating the clean image from the remaining components in the signal subspace.
Ki-Seung Lee, Eun Suk Kim, Won Doh, Dae Hee Youn
 IEEE Trans. Image Process.2