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Yu-Ming Chiang

dblp:64/5592 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none

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

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 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 · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Hardware accelerators and domain-specific architectures · 62% Integrated circuit design · 19% Embedded and real-time systems · 19%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing
image restoration		 0.011999
Nonuniformity correction of infrared image sequences using the constant-statistics constraint · IEEE Trans. Image Process. 1999
Image and video processing › image restoration › artifact removal
nonuniformity correction		 0.011999
Nonuniformity correction of infrared image sequences using the constant-statistics constraint · IEEE Trans. Image Process. 1999
Image and video processing
thermal imaging		 0.011999
Nonuniformity correction of infrared image sequences using the constant-statistics constraint · IEEE Trans. Image Process. 1999
Integrated circuit design
analog and mixed-signal circuits		 0.011996
An Analog Implementation of the Constant Average Statistics Constraint For Sensor Calibration · NIPS 1996
Embedded and real-time systems
sensor calibration		 0.011996
An Analog Implementation of the Constant Average Statistics Constraint For Sensor Calibration · NIPS 1996

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

deghosting · 0.0constant-statistics constraint · 0.0analog VLSI implementation · 0.0
YearPublicationVenuePosition
1999 Nonuniformity correction of infrared image sequences using the constant-statistics constraint
abstract
Using clues from neurobiological adaptation, we have developed the constant-statistics (CS) algorithm for nonuniformity correction of infrared focal point arrays (IRFPAs) and other imaging arrays. The CS model provides an efficient implementation that can also eliminate much of the ghosting artifact that plagues all scene-based nonuniformity correction (NUC) algorithms. The CS algorithm with deghosting is demonstrated on synthetic and real infrared (IR) sequences and shown to improve the overall accuracy of the correction procedure.
John G. Harris, Yu-Ming Chiang
 IEEE Trans. Image Process.2
1996 An Analog Implementation of the Constant Average Statistics Constraint For Sensor Calibration
John G. Harris, Yu-Ming Chiang
 NIPS2