| 基于分块处理的三维非局部均值降噪算法 |
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| 引用本文： | 刘静,陆利忠,闫镔,陈健. 基于分块处理的三维非局部均值降噪算法[J]. 计算机工程, 2010, 36(7): 220-223 |
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| 作者姓名： | 刘静 陆利忠 闫镔 陈健 |
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| 作者单位： | 解放军信息工程大学信息工程学院,郑州,450002 |
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| 基金项目： | 河南省基础与前沿技术研究计划基金资助项目(072300450240) |
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| 摘 要： | 现有二维非局部均值降噪算法仅能抑制三维图像的层内噪声，无法利用层间信息对图像进一步降噪。针对该问题，分析印刷电路板在锥形束CT系统中所成图像的自相似性，将现有二维算法扩展到三维空间，提出基于分块处理的三维非局部均值降噪算法。实验结果表明，该算法可进一步抑制噪声，具有较高的计算效率。
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| 关 键 词： | 工业CT 三维图像 图像降噪 分块 非局部均值降噪 |
| 修稿时间： | |
3D Non-local Mean Noise Reduction Algorithm Based on Partitioning Processing |
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| LIU Jing,LU Li-zhong,YAN Bin,CHEN Jian. 3D Non-local Mean Noise Reduction Algorithm Based on Partitioning Processing[J]. Computer Engineering, 2010, 36(7): 220-223 |
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| Authors: | LIU Jing LU Li-zhong YAN Bin CHEN Jian |
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| Affiliation: | (Institute of Information Engineering, PLA Information Engineering University, Zhengzhou 450002) |
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| Abstract: | Existing 2D non-local mean noise reduction algorithm can only suppress the noise inside the slice, it can not access the noise between slices. Aiming at this problem, this paper analyzes image self-similarity which is generated by Printed Circuit Board(PCB) in Cone Beam Computed Tomography(CBCT), extends existing 2D algorithm to 3D space, and proposes 3D non-local mean noise reduction algorithm based on partitioning processing. Experimental results show that this algorithm can further restrain noise, and it has higher computational efficiency. |
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| Keywords: | Industry Computed Tomography(ICT) 3D image image noise reduction partitioning non-local mean noise reduction |
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