Adaptive histogram equalization

Known as: AHE, Clahe 
Adaptive histogram equalization (AHE) is a computer image processing technique used to improve contrast in images. It differs from ordinary histogram… (More)
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Topic mentions per year

1982-2017
05010015019822017

Papers overview

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Highly Cited
2015
Highly Cited
2015
Base class for Contrast Limited Adaptive Histogram Equalization. Equalizes the histogram of a grayscale image using Contrast… (More)
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2013
2013
Histograms are the basis for numerous spatial domain image processing techniques. Histogram manipulation can be used effectively… (More)
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2013
2013
Within the last decades, improving the quality of an underwater image has received considerable attention due to poor visibility… (More)
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2009
2009
An algorithm is presented to automatically generate bas-reliefs based on adaptive histogram equalization (AHE), starting from an… (More)
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2006
2006
Adaptive histogram equalization (AHE) is a popular and effective algorithm for image contrast enhancement. But it's quite… (More)
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Highly Cited
2001
Highly Cited
2001
An approach for contrast enhancement utilizing multi-scale analysis is introduced. Sub-band coefficients were modified by the… (More)
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Highly Cited
1998
Highly Cited
1998
The Contrast-Limited Adaptive Histogram Equalization (CLARE) method for assigning displayed intensity levels in medical images… (More)
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Highly Cited
1998
Highly Cited
1998
The purpose of this project was to determine whether Contrast Limited Adaptive Histogram Equalization (CLAHE) improves detection… (More)
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1991
1991
Adaptive Histogram Equalization (AHE) has been recognized as a valid method of contrast enhancement. The main advantage of AHE is… (More)
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1987
1987
Contrast Limited Adaptive Histogram Equalization (clabe) provides excellent contrast enhancement of medical images, but may be… (More)
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