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K.-H. Chung

dblp:90/3327 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none

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

Graphics, 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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › image restoration
demosaicing		 0.112006
Color Demosaicing Using Variance of Color Differences · IEEE Trans. Image Process. 2006
Image and video processing › video frame interpolation › interpolation › image interpolation
edge-directed interpolation		 0.112006
Color Demosaicing Using Variance of Color Differences · IEEE Trans. Image Process. 2006
Image and video processing › video frame interpolation › interpolation
image interpolation		 0.112006
Color Demosaicing Using Variance of Color Differences · IEEE Trans. Image Process. 2006

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

edge direction estimation · 0.1color difference variance · 0.1
YearPublicationVenuePosition
2006 Color Demosaicing Using Variance of Color Differences
abstract
This paper presents an adaptive demosaicing algorithm. Missing green samples are first estimated based on the variances of the color differences along different edge directions. The missing red and blue components are then estimated based on the interpolated green plane. This algorithm can effectively preserve the details in texture regions and, at the same time, it can significantly reduce the color artifacts. As compared with the latest demosaicing algorithms, the proposed algorithm produces the best average demosaicing performance both objectively and subjectively.
K.-H. Chung, Yuk-Hee Chan
 IEEE Trans. Image Process.1