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基于Harr小波-Contourlet变换的图像增强算法 被引量:2

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摘要 为了解决噪声图像增强中抑制噪声和增强边缘细节的矛盾,提出一种基于Harr小波-Contourlet变换的噪声图像增强方法.Harr小波-Contourlet变换具有多分辨率、局部定位性、多方向、各向异性等特点,能够较好捕获图像的方向特征和边缘信息.根据这一特点,先在变换域中设置阈值抑制噪声;再用非线性增强算子对变换的各子带系数做增强处理.实验结果表明,该方法有效增强了图像的边缘细节和纹理特征.
作者 王建华
出处 《西北民族大学学报(自然科学版)》 2009年第2期50-54,共5页 Journal of Northwest Minzu University(Natural Science)
基金 国家自然科学基金项目(60675059) 甘肃省科技攻关项目(2GS057-A52-005-02)
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