Infrared Image Enhancement Based on Both Histogram Matching And Wavelet Fusion

被引：0
|
作者：
Donia, Eman A. [1 ]
El-Rabaie, El-Sayed M. [2 ]
El-Banby, Gh. M. [3 ]
Faragallah, Osama S. [1 ]
Abd El-Samie, Fathi E. [2 ]
机构：
[1] Menoufia Univ, Fac Elect Engn, Dept Comp Sci & Engn, Menoufia, Egypt
[2] Menoufia Univ, Fac Elect Engn, Dept Elect & Commun Engn, Menoufia, Egypt
[3] Menoufia Univ, Fac Elect Engn, Dept Ind Elect & Control Engn, Menoufia, Egypt
来源：
2016 FOURTH INTERNATIONAL JAPAN-EGYPT CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND COMPUTERS (JEC-ECC) | 2016年
关键词：
Image enhancement; Image fusion; Infrared image; Histogram matching;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes using both of the Histogram matching and wavelet fusion as an enhancement technique for infrared images (IR). Evaluation metrics for image enhancement includes entropy, standard deviation, edge intensity, contrast and average gradient. Results revealed that histogram matching of IR images to visual images enhances of the appearance of the images. Moreover, wavelet fusion can achieve data merging between different enhanced images.
引用
收藏
页码：111 / 114
页数：4
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