| 应用小波包变换的图像加权广义模糊增强算法 |
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| 引用本文： | 崔法毅,郑德忠.应用小波包变换的图像加权广义模糊增强算法[J].燕山大学学报,2009,33(6):478-483. |
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| 作者姓名： | 崔法毅 郑德忠 |
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| 作者单位： | 燕山大学河北省测试计量技术及仪器重点实验室,河北秦皇岛,066004 |
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| 基金项目： | 教育部博士点基金资助项日 |
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| 摘 要： | 图像边缘细节富含高频成分,鉴于小波包分析具有对高频分辨率高的特点,提出一种应用小波包变换的图像加权广义模糊增强算法。对图像进行小波包分解,分别对各分解子图像进行基于线性广义模糊算子（LGFO）的模糊增强处理,重构前对各增强子图像赋予不同的权值,通过小波包图像重构实现对原始图像的加权模糊增强处理,获得细节丰富、对比度强的高质量增强图像。在基于边缘测度与噪声标准差的增强图像质量评估标准下,算法实现了模糊参数的自适应寻优。实验表明,增强图像轮廓准确、细节丰富。
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| 关 键 词： | 图像广义模糊增强 小波包变换 线性广义模糊算子 边缘测度：噪声标准差 |
An algorithm for image weighted generalized fuzzy enhancement using wavelet packet transform |
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| CUI Fa-yi,ZHENG De-zhong.An algorithm for image weighted generalized fuzzy enhancement using wavelet packet transform[J].Journal of Yanshan University,2009,33(6):478-483. |
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| Authors: | CUI Fa-yi ZHENG De-zhong |
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| Institution: | CUI Fa-yi,ZHENG De-zhong ( Measurement Technology , Instrumentation Key Lab of Hebei Province,Yanshan University,Qinhuangdao,Hebei 066004,China ) |
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| Abstract: | Edge details of an image are rich in high frequency components. In view of the character of high-frequency high resolution for wavelet packet analysis, an algorithm is put forward for image weighted generalized fuzzy enhancement using wavelet packet transform. The selected image is decomposed by wavelet packet transform. Each decomposed sub-image is enhanced using fuzzy enhancement based on linear generalized fuzzy operator (LGFO), respectively. Before image reconstruction, different weight coefficients are... |
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| Keywords: | image generalized fuzzy enhancement wavelet packet transform linear generalized fuzzy operator (LGFO) edge measure degree noise standard deviation |
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