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Low-light image restoration using bright channel prior-based variational Retinex model

Overview of attention for article published in EURASIP Journal on Image and Video Processing, June 2017
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1 X user

Citations

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25 Dimensions

Readers on

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30 Mendeley
Title
Low-light image restoration using bright channel prior-based variational Retinex model
Published in
EURASIP Journal on Image and Video Processing, June 2017
DOI 10.1186/s13640-017-0192-3
Authors

Seonhee Park, Byeongho Moon, Seungyong Ko, Soohwan Yu, Joonki Paik

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 13%
Researcher 4 13%
Professor 4 13%
Student > Master 4 13%
Student > Bachelor 3 10%
Other 1 3%
Unknown 10 33%
Readers by discipline Count As %
Computer Science 10 33%
Engineering 6 20%
Mathematics 1 3%
Neuroscience 1 3%
Earth and Planetary Sciences 1 3%
Other 0 0%
Unknown 11 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 July 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from EURASIP Journal on Image and Video Processing
#201
of 233 outputs
Outputs of similar age
#286,713
of 327,487 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#7
of 11 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 233 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 327,487 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.