引用本文: | 王炜华,沈振康.用局部对比度信息改善图像质量[J].国防科技大学学报,2003,25(3):58-61.[点击复制] |
WANG Weihua,SHEN Zhenkang.Using Contrast Information for the Enhancement of Image[J].Journal of National University of Defense Technology,2003,25(3):58-61[点击复制] |
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用局部对比度信息改善图像质量 |
王炜华, 沈振康 |
(国防科技大学 ATR国家重点实验室,湖南 长沙 410073)
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摘要: |
在图像的摄取和传输中,图像经常降质。为了改善图像质量,将信息熵的概念与图像的局部对比度信息相结合,提出了一种基于熵概念的非线性噪声的滤除方法,并进一步利用局部统计信息对图像进行增强。分别对模拟图像以及红外图像进行了试验,并与中值滤波、Lee 滤波、Frost 滤波等经典噪声滤波方法进行比较,实验结果验证了该方法的有效性。 |
关键词: 局部对比度 对比度熵 噪声滤波 图像增强 |
DOI: |
投稿日期:2002-12-07 |
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Using Contrast Information for the Enhancement of Image |
WANG Weihua, SHEN Zhenkang |
(ATR Lab, National Univ. of Defense Technology, Changsha 410073, China)
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Abstract: |
The images are usually degraded during capturing and transferring. To improve the quality of images, a method that uses the local contrast information combined with the entropy concept to suppress the non-linear noise in images is described here. Furthermore, images are also enhanced by local contrast information. This method is compared with other classic denoising methods, such as median filter, Lee filter, Frost filter and so on. The experimental results of the simulations and application to synthetic noised images and infrared images prove the good performance of the proposed method. |
Keywords: local contrast contrast entropy denoising image enhancement |
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