A rapid medical image noise variance estimation method

F. F. Ting, K. Sim, E. K. Wong
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引用次数: 6

Abstract

Noise in medical images may affect the result of clinical diagnosis. We propose a rapid noise variances estimation method named Gabor Wavelet Laplacian convolution (GWLC). This method allows rapid estimation of image noise variance without complex calculation. We exclude unwanted image edge lines through Gabor wavelet transform edge detection. Henceforth, we can estimate the noise variance of the image through GWLC. A performance comparison between our proposed method and referred method are carried out. GWLC outperforms other related methods.
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一种快速的医学图像噪声方差估计方法
医学图像中的噪声会影响临床诊断的结果。提出了一种快速的噪声方差估计方法——Gabor小波拉普拉斯卷积(GWLC)。该方法可以快速估计图像噪声方差,无需复杂的计算。我们通过Gabor小波变换边缘检测排除不需要的图像边缘线。因此,我们可以通过GWLC估计图像的噪声方差。将本文提出的方法与参考方法进行了性能比较。GWLC优于其他相关方法。
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