| 基于TLS估计的遗传小波红外图像去噪方法 |
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| 引用本文： | 吴迎昌,罗滇生,何洪英.基于TLS估计的遗传小波红外图像去噪方法[J].计算机科学,2015,42(4):281-284. |
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| 作者姓名： | 吴迎昌 罗滇生 何洪英 |
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| 作者单位： | 湖南大学电气与信息工程学院 长沙410082 |
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| 基金项目： | 本文受国家自然科学基金(51277057),2014年湖南大学青年基金,第51批中国博士后基金(2012M511719)资助 |
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| 摘 要： | 为了更有效地去除红外图像中的噪声,提出一种基于总体最小二乘法(TLS)估计的遗传小波红外图像去噪方法.该方法以TLS小波去噪后图像作为父本并以维纳滤波处理后的图像作为母本来进行选择、交叉和变异,通过提取TLS小波去噪和维纳滤波在图像去噪中的优势基因,获得最优子代并解码还原成图像.实验结果表明,与当前已有的图像去噪方法相比,该方法能更加有效地去除红外图像中的噪声,且去噪后的图像具有更高的信噪比(SNR)和更小的最小均方误差(MSE).
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| 关 键 词： | 总体最小二乘法(TLS) 红外图像 遗传小波 去噪 |
Infrared Image De-noising Method Based on Genetic Wavelet of TLS |
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| WU Ying-chang,LUO Dian-sheng and HE Hong-ying.Infrared Image De-noising Method Based on Genetic Wavelet of TLS[J].Computer Science,2015,42(4):281-284. |
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| Authors: | WU Ying-chang LUO Dian-sheng and HE Hong-ying |
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| Affiliation: | College of Electrical and Information Engineering,Hunan University,Changsha 410082,China,College of Electrical and Information Engineering,Hunan University,Changsha 410082,China and College of Electrical and Information Engineering,Hunan University,Changsha 410082,China |
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| Abstract: | In order to remove noise in infrared images more effectively,an infrared image de-noising method based on genetic wavelet of TLS (Total Least Squares) was presented.This method takes the image de-noised by TLS as male and the image de-noised by wiener filter as female to select,cross and mutate.The dominant gene which is extracted from TLS wavelet de-noising and wiener filtering is called as optimal offspring and decoded into image.Experimental results show that compared to conventional methods,the method effectively removes the noise,and has higher SNR(signal-to-noise rate) and smaller MSE(minimizes the mean squared error). |
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| Keywords: | Total least squares (TLS) Infrared image Genetic wavelet De-noising |
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