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首页> 外文期刊>International Journal of Image Processing >Fusion Based Gaussian noise Removal in the Images using Curvelets and Wavelets with Gaussian Filter
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Fusion Based Gaussian noise Removal in the Images using Curvelets and Wavelets with Gaussian Filter

机译：利用曲波和小波与高斯滤波器去除图像中基于融合的高斯噪声

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Curvelets denoise approach has been widely used in many fields for its ability to obtain high quality result images.Curvelet transform is superior to wavelet in the expression of image edge, such as geometry characteristic of curve, which has already obtained good results in image denoising. However artifacts those appear in the result images of Curvelets approach prevent its application in some fields such as medical image. This paper puts forward a fusion based method because certain regions of the image have the ringing and radial stripe after Curvelets transform. The experimental results indicate that fusion method has an abroad future for eliminating the noise of images. The results of the algorithm applied to ultrasonic medical images also indicate that the algorithm can be used efficiently in medical image fields.
机译：曲波降噪方法因其获得高质量结果图像的能力而在许多领域得到了广泛应用。曲线图像变换在图像边缘表达方面（例如曲线的几何特征）优于小波，在图像去噪方面已经获得了良好的效果。但是，在Curvelet方法的结果图像中出现的伪影会阻止其在某些领域（例如医学图像）中的应用。本文提出了一种基于融合的方法，因为经过Curvelet变换后，图像的某些区域会出现振铃和径向条纹。实验结果表明，融合方法在消除图像噪声方面具有广阔的前景。该算法应用于超声医学图像的结果还表明，该算法可以有效地用于医学图像领域。

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