| 基于融合策略的非下采样Contourlet域SAR图像去噪与仿真分析 |
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| 引用本文： | 杨晓慧,赵艳敏.基于融合策略的非下采样Contourlet域SAR图像去噪与仿真分析[J].系统仿真学报,2010,22(1). |
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| 作者姓名： | 杨晓慧 赵艳敏 |
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| 作者单位： | 1. 河南大学数学与信息科学学院应用数学研究所,开封,475004
2. 许昌学院数学科学学院,许昌,461000 |
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| 基金项目： | 国家自然科学基金(60802061,10672143,10872037); 中国科学院科学与工程计算国家重点实验室开放合作课题(K81Z12127F); 河南省自然科学研究项目(2009A110017,2008B510001) |
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| 摘 要： | 传统的SAR图像去噪方法仅考虑乘性噪声,而忽略其中的加性成分。根据图像统计特性提出加性和乘性复合模型,对图像施加非下采样Contourlet变换分解策略,然后在变换域引入融合策略以完成最终的去噪。仿真分析表明:采用该新算法后的视觉效果和客观衡量指标都比较理想。
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| 关 键 词： | SAR 图像去噪 非下采样Contourlet变换 图像融合 仿真分析 |
SAR Image Denoising and Simulation Analysis in Nonsubsampled Contourlet Domain via Fusion Strategy |
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| YANG Xiao-hui,ZHAO Yan-min.SAR Image Denoising and Simulation Analysis in Nonsubsampled Contourlet Domain via Fusion Strategy[J].Journal of System Simulation,2010,22(1). |
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| Authors: | YANG Xiao-hui ZHAO Yan-min |
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| Institution: | YANG Xiao-hui1,ZHAO Yan-min2(1.Institute of Applied Mathematics,School of Mathematics , Information Sciences,Henan University,Kaifeng 475004,China,2.School of Mathematical Sciences,Xuchang University,Xuchang 461000,China) |
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| Abstract: | Traditional Synthetic Aperture Radar(SAR) image denoising methods usually consider noise as multiplicative and ignore additive parts.A compound model of additive noise and multiplicative noise was proposed.First,original image was decomposed by nonsubsampled Contourlet transform.And then,a fusion strategy was introduced to fulfill final denoising.Simulation analysis shows that this new method has satisfactory visual fidelity and objective indexes. |
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| Keywords: | SAR image denoising nonsubsampled Contourlet transform(NSCT) image fusion simulation analysis |
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