一种基于小波融合的雾天视频监控图像增强算法 |
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引用本文: | 张恒,谷丰,张欣.一种基于小波融合的雾天视频监控图像增强算法[J].电脑与微电子技术,2014(7):37-40. |
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作者姓名: | 张恒 谷丰 张欣 |
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作者单位: | 株洲南车时代电气股份有限公司,株洲412001 |
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摘 要: | 针对雾天视频监控系统采集的图像对比度降低、图像模糊的问题,提出一种小波融合算法。该算法在已有的图像增强方法的基础上,应用小波变换、直方图均衡化和非线性增强算子来综合处理雾天降质图像。实验结果表明,该算法对比于传统的方法不但可以明显的提高图像对比度,而且增强图像的边缘细节和纹理特性,取得较好的效果。
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关 键 词: | 直方图均衡化 小波变换 非线性增强算子 |
An Image Enhancement Algrorithm of Wavelet Foggy Video Surveillance Based on Fusion |
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Authors: | ZHANG Heng GU Feng ZHANG Xin |
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Affiliation: | (Zhuzhou CSR Times Electric Co., Ltd., Zhuzhou 412001) |
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Abstract: | In view of problems of low in contrast gradient and fuzzy in imaging quality when video monitoring system acquiring image in fog, propos-es an algorithm based on wavelet fusion. Uses wavelet transform, histogram equalization and non-linear operator to process synthetically fog-degraded image based on the existent image enhancement method. The experiments show that the algorithm compared with conven-tional methods can not only obviously improve image contrast and enhance the image edge details and texture property, and achieve good results. |
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Keywords: | Histogram Equalization Wavelet Transform Non-Linear Operator |
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