| 环形向量非局部SAR图像降噪算法 |
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| 引用本文： | 蔡雨辰,赵保军,唐林波. 环形向量非局部SAR图像降噪算法[J]. 北京理工大学学报, 2012, 32(11): 1174-1178 |
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| 作者姓名： | 蔡雨辰 赵保军 唐林波 |
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| 作者单位： | 北京理工大学信息与电子学院,北京,100081;北京理工大学信息与电子学院,北京,100081;北京理工大学信息与电子学院,北京,100081 |
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| 基金项目： | 国家"八六三"计划项目(2011SQ8012321) |
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| 摘 要： | 提出一种基于环形向量的非局部SAR图像降噪算法.根据像素点的主方向提取环形向量,计算环形向量各自的特征向量.基于特征向量计算相似度权重,该方法的时间复杂度明显优于NL-Means的矩形模板匹配算法,且相似点匹配具有旋转不变性.通过仿真实验验证了该算法的计算速度和旋转不变性能,匹配效果明显优于NL-Means,降噪结果的峰值信噪比和结构相似度优于BM3D、BLS-GSM等主流降噪算法.
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| 关 键 词： | SAR图像降噪 非局部平均 环形向量 旋转不变性 |
| 收稿时间： | 2011-12-11 |
Circular-Vector Based Non-Local SAR Image Denoising Algorithm |
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| CAI Yu-chen,ZHAO Bao-jun and TANG Lin-bo. Circular-Vector Based Non-Local SAR Image Denoising Algorithm[J]. Journal of Beijing Institute of Technology(Natural Science Edition), 2012, 32(11): 1174-1178 |
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| Authors: | CAI Yu-chen ZHAO Bao-jun TANG Lin-bo |
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| Affiliation: | School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | A circular-vector based non-local SAR image denoising algorithm was proposed. Circular vectors were abstracted according to the main direction of the central pixel. Feature vectors were then calculated and the weights of similarity were obtained based on these feature vectors. The execution time and quality of rotation invariance were tested. The results show that the time complexity is significantly lower than the patch-based similarity matching algorithm in NL-Means, and the rotation invariance is also maintained. Experiments have verified that the proposed algorithm shows better similarity matching results comparing to NL-Means and competitive denoising results on PSNR and SSIM against currently state-of-the-art denoising algorithms, such as BM3D, BLS-GSM. |
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| Keywords: | SAR image denoising non-local means circular vector rotation invariance |
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