A Histogram Equalization Algorithm about Second Generation Wavelet Integer Transform
Jianye Peng, Yi Zhang
Available Online March 2016.
- https://doi.org/10.2991/icmmct-16.2016.59How to use a DOI?
- histogram equalization; second generation wavelet; wavelet coefficient; luminance maintenance.
- 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.
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 -