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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… 
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Papers overview

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Highly Cited
2015
Highly Cited
2015
Direct detection optical orthogonal frequency division multiplexing (DDO-OFDM) transmission with constant amplitude zero… 
2014
2014
Image fusion fuses the information from several images of one scene to obtain a precise, complete and reliable image which is… 
2011
2011
In order to analyze, the aerospatial images must pass through a series of transformations. Interpretation can be done by a human… 
2009
2009
In this paper, we modified a method known as Self-Adaptive Plateau Histogram Equalization (SAPHE) to enhance microscopic images… 
Highly Cited
2007
Highly Cited
2007
[1] This study investigates the aerosol humidification effect (AHE) using 70 profiles of the aerosol scattering coefficients at… 
2006
2006
Adaptive histogram equalization (AHE) is a popular and effective algorithm for image contrast enhancement. But it's quite… 
Highly Cited
2004
Highly Cited
2004
Channel shortening (a generalization of equalization) is often necessary for mitigation of intersymbol and intercarrier… 
1996
1996
Adaptive histogram equalization (AHE), a method of contrast enhancement which is sensitive to local spatial information in image… 
1988
1988
Some recently introduced variations of adaptive histogram equalization (AHE) are discussed that reduce the sometimes excessive… 
1988
1988
Contrast Limited Adaptive Histogram Equalization (clahe) provides excellent contrast enhancement of medical images, but may be…