| 基于微粒群优化噪信功率比的维纳滤波算法 |
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| 引用本文： | 周鲜成,申群太. 基于微粒群优化噪信功率比的维纳滤波算法[J]. 计算机应用与软件, 2009, 26(4) |
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| 作者姓名： | 周鲜成 申群太 |
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| 作者单位： | 1. 湖南商学院计算机与电子工程学院,湖南,长沙,410205;中南大学信息科学与工程学院,湖南,长沙,410083
2. 中南大学信息科学与工程学院,湖南,长沙,410083 |
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| 摘 要： | 在维纳滤波图像恢复中,为确定最佳噪信功率比,必须具备一定的图像先验知识,这使其应用受到了一定局限.提出了一种基于微粒群优化的新技术,采用最小均方误差对恢复图像的质量进行评估,能智能地选择噪信功率比的最佳值.仿真实验表明,从视觉效果、均方误差和峰值信噪比等方面进行比较,其恢复效果比经典的维纳滤波法好,是一种有效的方法.
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| 关 键 词： | 微粒群算法 噪信功率比 维纳滤波 图像恢复 |
WIENER FILTERING ALGORITHM FOR NOISE-SIGNAL POWER RATIO BASED ON PARTICLE SWARM OPTIMIZATION |
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| Zhou Xiancheng,Shen Quntai. WIENER FILTERING ALGORITHM FOR NOISE-SIGNAL POWER RATIO BASED ON PARTICLE SWARM OPTIMIZATION[J]. Computer Applications and Software, 2009, 26(4) |
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| Authors: | Zhou Xiancheng Shen Quntai |
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| Affiliation: | School of Computer and Electronic Engineering;Hunan Business College;Changsha 410205;Hunan;China;School of Information Science and Engineering;Central South University;Changsha 410083;China |
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| Abstract: | In order to determine the optimal value of noise-signal power ratio,a priori knowledge of image must be known in image restoration in the Wiener filter,which limits its application.A new technique based on particle swarm optimization is proposed in this paper,it evaluates the restored image quality with minimum mean square error and can intellectually find the optimal value of noise-signal power ratio.The simulation results indicate that comparing with the classical Wiener filter,this method performs better... |
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| Keywords: | Particle swarm optimization Noise-signal power ratio Wiener filtering Image restoration |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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