侧扫声呐图像的3维块匹配降斑方法

范习健 已出版文章查询
范习健
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1 李庆武 已出版文章查询
李庆武
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2 黄河 已出版文章查询
黄河
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1 王敏 已出版文章查询
王敏
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1河海大学计算机与信息学院,常州213022

2河海大学计算机与信息学院,常州213022;常州市传感网与环境感知重点实验室,常州213022


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斑点噪声是影响侧扫声呐图像质量的主要因素,降斑处理对侧扫声呐图像的判别与分析非常重要.针对侧扫声呐图像自身特性和斑点噪声分布特点,提出一种基于3维块匹配(BM3D)的降斑方法.根据海底散射模型,得到侧扫声呐图像斑点噪声的瑞利分布模型,然后通过高斯光滑函数幂变换将瑞利分布的噪声转化为高斯分布,通过对数变换将乘性噪声转变为加性噪声,再进行自适应的BM3D滤波,最后采用逆变换得到降斑图像.实验结果表明,该方法在降噪、边缘和纹理保持等方面均优于空间域、小波域、Curvelet域的一些降斑方法.

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语种: 中文   

基金国家自然科学基金(60972101)

关键词侧扫声呐图像 斑点噪声 降斑 3维块匹配


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