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IEEE Transactions on Image Processing
Article . 2006 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Color Demosaicing Using Variance of Color Differences

Authors: K.-H. Chung; Yuk-Hee Chan;

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.

Countries
China (People's Republic of), Hong Kong
Keywords

Bayer sampling, Digital camera, Image Interpretation, Computer-Assisted, Color, Information Storage and Retrieval, Colorimetry, Color demosaicing, Image Enhancement, Color filter array, Algorithms, Interpolation

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    153
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
153
Top 10%
Top 1%
Top 10%
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