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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Signal Processi...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Signal Processing Letters
Article . 2012 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article . 2012
Data sources: DBLP
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Depth Map Based Image Enhancement Using Color Stereopsis

Authors: Seung-Won Jung; Sung-Jea Ko;

Depth Map Based Image Enhancement Using Color Stereopsis

Abstract

Color stereopsis is a phenomenon in the human visual system (HVS) in which a long wavelength color is perceived as being located closer than a short wavelength color. Although many psychophysical studies on color stereopsis have been carried out, its practical application is not fully investigated. In this letter, we propose a new image enhancement algorithm using color stereopsis between red and blue colors. First, the relationship of red and blue colors to the depth perception is analyzed. Then, a simple but practical image enhancement algorithm is presented based on the analysis result. The experimental results demonstrate the effectiveness of the proposed algorithm.

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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!
9
Average
Top 10%
Top 10%
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