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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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2011
2011
In order to analyze, the aerospatial images must pass through a series of transformations. Interpretation can be done by a human… 
2010
2010
This paper presents the enhancement capability of adaptive histogram equalization (AHE) on the soft tissue lateral neck… 
2007
2007
Image enhancement is the task of applying certain alterations to an input image such as to obtain a more visually pleasing image… 
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… 
1996
1996
Adaptive histogram equalization (AHE), a method of contrast enhancement which is sensitive to local spatial information in image… 
1991
1991
  • C. Kurak
  • 1991
  • Corpus ID: 29495625
Adaptive histogram equalization (AHE) is computationally expensive, and therefore time-consuming. A parallel method implemented… 
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… 
1986
1986
Adaptive histogram equalization (ahe) is a contrast enhancement method designed to be broadly applicable and having demonstrated…