Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
This research paper presents efficient data steganography method in video sequences based on histogram shifting in discrete… 
2015
2015
Image fusion is a process of combining data from multiple sources to achieve refined or improved information for making decisions… 
2014
2014
Image fusion fuses the information from several images of one scene to obtain a precise, complete and reliable image which is… 
2014
2014
Satellite images are being used in many fields of research. Resolution and contrast are the two important attributes of an image… 
2012
2012
Quality of the image is not satisfactory in many cases to extract the useful information. Image enhancement process gives better… 
2011
2011
In order to analyze, the aerospatial images must pass through a series of transformations. Interpretation can be done by a human… 
2011
2011
Adaptive (local)histogram equalization is a popular and effective algorithm for local content emphasis. But it has a disadvantage… 
Highly Cited
2007
Highly Cited
2007
[1] This study investigates the aerosol humidification effect (AHE) using 70 profiles of the aerosol scattering coefficients at… 
2002
2002
Histogram equalization(HE) and adaptive histogram equalization(AHE) methods are introduced.On the base of them,weighted adaptive… 
1993
1993
  • J. C. Tu
  • 1993
  • Corpus ID: 62174331
"Staggered modulation" techniques have become prevalent in digital radio transmission. These techniques offset or stagger the…