Variational enhancement for infrared images

被引:0
|
作者
Wang Chao [1 ]
Ye Zhong-Fu
机构
[1] Univ Sci & Technol China, Dept Elect Engn & Informat Sci, Inst Stat Signal Proc, Hefei 230027, Peoples R China
[2] Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
关键词
infrared image; image enhancement; variational method; total variation (TV); histogram;
D O I
暂无
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A variational enhancement method for infrared images was proposed based on total variation (TV) and contrast. Considering that the infrared images generally are much noisy, the proposed method restricts the noise to compute the target gradient based on the existing variational enhancement scheme. In addition, the object function includes an extra term representing total variations, which gives a further suppression to the noise. The histogram-based algorithms are likely to merge the gray levels which are similar in intensity and have low distribution, thus some useful details will be decreased. The proposed variational method does not have such problems as histogram method, and is more effective to enhance infrared images.
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页码:306 / 310
页数:5
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