Adaptive Equalization Algorithm for Image Based on Histogram

DOI

10.2991/meic-14.2014.292How to use a DOI?

Keywords

Histogram; Classical equalization algorithm; Adaptive equalization algorithm; Gray-scale;Digital image processing

Abstract

The classical histogram equalization algorithm is not perfect in its over extending low gray layers, which produces over emphasized images and in its weakness in changing gray level, which leads to the lost of details in image. For enhancing the algorithm, the paper introduces an adaptive equalization algorithm that involves the process of dealing with image by using classical histogram equalization before mapping the image by linear function so as to ensure a large gray area for brightness adjustment. In order to verify the actual effect of this improved algorithm, arrange targeted experiments . The experimental results show that the image processed by improved algorithm has better contrast than original image. At the same time, also make the details of some of the background had better retention and well restrain the phenomenon of over-stretched. By comparison the enhanced algorithm is highly adaptive and it can effectively improve the classical algorithm in terms of image contrast and visual effects.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhigao Zhang
AU  - Hongmei Zhang
AU  - Zhili Pei
PY  - 2014/11
DA  - 2014/11
TI  - Adaptive Equalization Algorithm for Image Based on Histogram
BT  - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 1298
EP  - 1301
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-14.2014.292
DO  - 10.2991/meic-14.2014.292
ID  - Zhang2014/11
ER  -