A Detail Enhancement Algorithm of Infrared Images Based on Second-generation Wavelet Cumulative Probability

被引：0
作者：
Wang, Haifeng [1 ]
Zhang, Yi [1 ]
机构：
[1] Jiangsu Univ Technol, Informat Ctr, Changzhou 213001, Jiangsu, Peoples R China
来源：
3RD ASIAN PACIFIC CONFERENCE ON ENERGY, ENVIRONMENT AND SUSTAINABLE DEVELOPMENT (APEESD 2017) | 2017年
关键词：
Second-generation wavelet; Infrared image; Detail enhancement; Mean gradient;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Aiming at the drawbacks of poor contrast, fuzzy edge and insufficient texture information widely existing in infrared images, a detail enhancement method of infrared images based on second-generation wavelet cumulative probability is proposed. Firstly, the algorithm decomposes infrared images for the second-generation wavelet mono-layer, and the cumulative probability distribution function is used to calculate the detail histogram equalization of the infrared images, then the histogram equalization is processed respectively. The comparison of several algorithms shows that the proposed method is outstanding in image detail in the digital detail enhancement of infrared image, and the noise suppression effect is good.
引用
收藏
页码：199 / 202
页数：4
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