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A combined approach for noise reduction in medical images using Dual Tree Discrete Wavelet Transform and Rotated Dual Tree Discrete Wavelet Transform

机译:使用双树离散小波变换和旋转双树离散小波变换的医学图像降噪方法

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Medical imaging suffers from image noise. To remove this noise spatial domain and transform domain techniques are used. But spatial domain techniques have limitation of edge blurring w.r.t transform based techniques. Therefore in this paper we have proposed a transform based denoising technique. We have used Dual tree DWT and Rotated version of Dual Tree DWT jointly to improve our denoising results. Our main focus is to get more directional information from this transform which will improve denoising results. We have compared our results with existing methods and results are very encouraging. PSNR is used as image quality measure.
机译:医学成像遭受图像噪音。要删除此噪声域并使用变换域技术。但空间域技术具有边缘模糊W.R.T基于变换技术的限制。因此,在本文中,我们提出了一种基于变换的去噪技术。我们共同使用了双树DWT和旋转版的双树DWT,以提高我们的去噪结果。我们的主要重点是从这种变换获取更多的定向信息,这将改善去噪结果。我们将我们的结果与现有方法和结果进行了比较了很令人鼓舞。 PSNR用作图像质量测量。

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