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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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2018
2018
This research paper presents efficient data steganography method in video sequences based on histogram shifting in discrete… 
2017
2017
In the digital world, image quality is of widespread importance in several areas of image application such as medical field… 
2012
2012
Quality of the image is not satisfactory in many cases to extract the useful information. Image enhancement process gives better… 
2012
2012
: An individual can be identified effectively using palmprints. In this paper we propose palmprint identification based on DWT… 
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… 
2011
2011
Ultrasound image can facilitate the physician to identify the cause of an enlarged abdominal organ. This paper presents the… 
2003
2003
Usual segmentation techniques of grayscale images depend on supervised trial-and-error procedures. Moreover, in noisy images… 
2002
2002
Histogram equalization(HE) and adaptive histogram equalization(AHE) methods are introduced.On the base of them,weighted adaptive… 
2002
2002
We present a method for frame coherent texturing and hatching of 3D models with a discrete set of colors. Our technique is…