计算机科学 ›› 2015, Vol. 42 ›› Issue (4): 281-284.doi: 10.11896/j.issn.1002-137X.2015.04.058
吴迎昌,罗滇生,何洪英
WU Ying-chang, LUO Dian-sheng and HE Hong-ying
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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