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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
2013
Highly Cited
2013
Within the last decades, improving the quality of an underwater image has received considerable attention due to poor visibility… 
Highly Cited
2010
Highly Cited
2010
The paper introduces the contrast sort methods,and introduces mainly the contrast limited adaptive histogram equalization,which… 
Highly Cited
2009
Highly Cited
2009
The images degraded by fog suffer from poor contrast. In order to remove fog effect, a Contrast Limited Adaptive Histogram… 
Highly Cited
2008
Highly Cited
2008
Histogram equalization is a simple and effective method for contrast enhancement as it can automatically define the intensity… 
Highly Cited
2004
Highly Cited
2004
  • A. Reza
  • J. VLSI Signal Process.
  • 2004
  • Corpus ID: 41505656
Acquired real-time image sequences, in their original form may not have good viewing quality due to lack of proper lighting or… 
Highly Cited
2004
Highly Cited
2004
Acquired real-time image sequences, in their original form may not have good viewing quality due to lack of proper lighting or… 
Highly Cited
1998
Highly Cited
1998
In this paper we propose a block-overlapped histogram equalization system for enhancing contrast of image sequences. The proposed… 
Highly Cited
1994
Highly Cited
1994
Highly Cited
1990
Highly Cited
1990
An experiment intended to evaluate the clinical application of contrast-limited adaptive histogram equalization (CLAHE) to chest… 
Highly Cited
1987