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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组合方法

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摘要

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声的困扰。为了消除这种噪声,使用了空间域和变换域技术。但是空间域技术具有基于边缘变换的边缘模糊技术的局限。因此,本文提出了一种基于变换的去噪技术。我们联合使用了Dual Tree DWT和Dual Tree DWT的旋转版本来改善去噪效果。我们的主要重点是从此变换中获取更多方向信息,这将改善去噪结果。我们将结果与现有方法进行了比较,结果令人鼓舞。 PSNR用作图像质量度量。

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