| 红外图像的变分增强算法 |
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| 引用本文： | 王超,叶中付.红外图像的变分增强算法[J].红外与毫米波学报,2006,25(4):306-310. |
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| 作者姓名： | 王超 叶中付 |
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| 作者单位： | 中国科学技术大学,电子工程与信息科学系信号统计处理研究室,安徽,合肥,230027;中国科学技术大学,电子工程与信息科学系信号统计处理研究室,安徽,合肥,230027;中国科学院自动化研究所,模式识别国家重点实验室,北京,100080 |
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| 基金项目： | 感谢南京师范大学的聂守平教授提供的部分红外图像. |
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| 摘 要： | 提出了一种基于全变差和对比度的红外图像变分增强方法.针对红外图像噪声较大的特点,在现有变分增强算法的基础上,构造目标梯度场时,事先考虑了对噪声的限幅,防止不必要的噪声放大.另外,构造目标函数时加入了图像的全变差(TV)约束,使得噪声进一步得到抑制.直方图类算法会对灰度邻近、分布较少的灰度阶进行合并,从而丢失一些有用细节.本算法不会出现直方图算法的类似问题.实验表明本算法相对于常见的直方图处理算法,可以更有效增强红外图像.
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| 关 键 词： | 红外图像 图像增强 变分 全变差 直方图 |
| 文章编号： | 1001-9014（2006）04-0306-05 |
| 收稿时间： | 2005-09-19 |
| 修稿时间： | 2006-01-23 |
VARIATIONAL ENHANCEMENT FOR INFRARED IMAGES |
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| WANG Chao,YE Zhong-Fu.VARIATIONAL ENHANCEMENT FOR INFRARED IMAGES[J].Journal of Infrared and Millimeter Waves,2006,25(4):306-310. |
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| Authors: | WANG Chao YE Zhong-Fu |
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| Affiliation: | 1. Institute of Statistical Signal Processing, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China;2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China |
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| Abstract: | 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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| Keywords: | infrared image image enhancement variational method total variation(TV) histogram |
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