噪音强度的估计和去噪效果的评估
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摘要
若图像有较大的噪音,会影响视觉效果和有效信息的提取。常用的去噪方法在实际应用中都需要借助图像噪音强度去估计或控制去噪的效果。目前,我们常用的噪音强度估计方法中,没有考虑边缘像素点的影响,使估计值不很准确。把图像的边缘提取与噪音强度的估计相结合,提高了噪音强度估计的精度,并由此导出了去噪效果评估的一个新的数值客观标准算法,该评估方法不依赖在现实中不可知的标准图像,通过实验可以看出该标准具有很大的实用价值。
If the image has the large noises, it can influence the visual effect and the effective information detection. Nowadays, our methods of noise removal estimate or control the results of noise removal with the help of the image noise level in apply. In our common use of the noise level estimating method, the influence of pixels on the edge has not been considered, which mades the estimated value inexactly. Estimating and computing the noise level by introducing the edge detection, the veracity of the noise level has been increasing more. Based on this, a new noise removal evaluating method is brought forward, this noise removal evaluating method does not depend on the standard image that is not known in reality. It explains that the new evaluating method has more practicability and applicability by a great deal of experiments.
If the image has the large noises, it can influence the visual effect and the effective information detection. Nowadays, our methods of noise removal estimate or control the results of noise removal with the help of the image noise level in apply. In our common use of the noise level estimating method, the influence of pixels on the edge has not been considered, which mades the estimated value inexactly. Estimating and computing the noise level by introducing the edge detection, the veracity of the noise level has been increasing more. Based on this, a new noise removal evaluating method is brought forward, this noise removal evaluating method does not depend on the standard image that is not known in reality. It explains that the new evaluating method has more practicability and applicability by a great deal of experiments.
引文
[1]关新平,赵立兴,唐英干.图像去噪混合滤波方法[J].中国图象图形学报,2005,10(3):332-337.
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[3]谢华英,周海银,谢美华.P-M扩散与相干增强扩散相结合的抑制噪声方法[J].中国图象图形学报,2005,10(2):158-163.
[4]Marius Lysaker,Arvid Lundervold,Xue-Cheng Tai.Noise remo-val using fourth-order partial differential equation with applica-tions to medial magnetic resonance images in space and time[J].IEEE trans on Image Processing,2003,12(12):1579-1589.
[5]郑南宁.计算机视觉与模式识别[M].北京:国防工业出版社,1998:66-69.
[6]周卫东,赵浩,彭玉华.独立分量分析在有噪图象分离中的应用[J].中国图象图形学报,2005,10(2):242-244.
[7]王彪,田杰,黄海宁,等.基于微分方程和小波图像去噪研究[J].计算机工程与应用,2005,41(4):72-74.
[8]陈风,李金宗,李冬冬,等.提高地震图像信噪比的非线性各向异性扩散算法模型[J].石油勘探与开发,2004,31(2):77-79.
[2]吕同富,刘宝军,毕秀芝.图像边缘提取的简单方法及应用[J].计算机仿真,2003,20(4):99-101.
[3]谢华英,周海银,谢美华.P-M扩散与相干增强扩散相结合的抑制噪声方法[J].中国图象图形学报,2005,10(2):158-163.
[4]Marius Lysaker,Arvid Lundervold,Xue-Cheng Tai.Noise remo-val using fourth-order partial differential equation with applica-tions to medial magnetic resonance images in space and time[J].IEEE trans on Image Processing,2003,12(12):1579-1589.
[5]郑南宁.计算机视觉与模式识别[M].北京:国防工业出版社,1998:66-69.
[6]周卫东,赵浩,彭玉华.独立分量分析在有噪图象分离中的应用[J].中国图象图形学报,2005,10(2):242-244.
[7]王彪,田杰,黄海宁,等.基于微分方程和小波图像去噪研究[J].计算机工程与应用,2005,41(4):72-74.
[8]陈风,李金宗,李冬冬,等.提高地震图像信噪比的非线性各向异性扩散算法模型[J].石油勘探与开发,2004,31(2):77-79.
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