Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

A Histogram Equalization Algorithm about Second Generation Wavelet Integer Transform

Authors
Jianye Peng, Yi Zhang
Corresponding Author
Jianye Peng
Available Online March 2016.
DOI
https://doi.org/10.2991/icmmct-16.2016.59How to use a DOI?
Keywords
histogram equalization; second generation wavelet; wavelet coefficient; luminance maintenance.
Abstract
In view of the traditional processing defects of histogram image, this paper proposes a new histogram equalization algorithm about second generation wavelet integer transform. Firstly, the method of three level lifting was used to improve to the wavelet integer transform and to extract the low frequency coefficients. Secondly, the low frequency wavelet coefficients are divided into four sub images with the help of the average luminance wavelet coefficient. Each sub image was extracted by histogram equalization. Finally, the four sub images were merged in order to construct an enhanced image. The experiment results showed that the algorithm of this paper is better in image luminance maintenance and noise controlling and has clearer details. The visual effects of the enhanced images can be applied in remote sensing satellite and the processing of medical images, etc.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.59How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jianye Peng
AU  - Yi Zhang
PY  - 2016/03
DA  - 2016/03
TI  - A Histogram Equalization Algorithm about Second Generation Wavelet Integer Transform
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 300
EP  - 304
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.59
DO  - https://doi.org/10.2991/icmmct-16.2016.59
ID  - Peng2016/03
ER  -