Volume & Issue no: Volume 9, Issue 5, September - October 2020
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Title: |
A review on gamma correction base image contrast enhancement techniques |
Author Name: |
Nitin Mishra, Abhishek Singh |
Abstract: |
Abstract: Image enhancement is the way toward
changing digital images with the goal that the outcomes
are progressively reasonable for show or further
image analysis. For instance, we can remove noise,
sharpen, or brightness of an image, making it simpler to
distinguish key highlights. The aim of image
enhancement is to improve the interpretability or
perception of information in images for human viewers or
to give better contribution for other
automated image processing techniques. In past few
decades different types of image enhancement methods
have been developed by various groups of researchers.
One such class of image enhancement methods is
‘adaptive gamma correction’ (AGC) based methods. In
these types of methods each intensity value of given digital
images is enhanced by modifying it using a power of
gamma. The value of variable gamma is calculated by
considering various properties of given digital image. In
this paper we are going to provide a systematic review on
various AGC methods.
Keywords: Adaptive gamma correction (AGC),
cumulative distributed function (CDF), Contrast
Enhancement (CE). |
Cite this article: |
Nitin Mishra, Abhishek Singh , "
A review on gamma correction base image contrast enhancement techniques" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 9, Issue 5, September - October 2020 , pp.
039-043 , ISSN 2278-6856.
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