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首页> 外文期刊>International Journal of Computer Trends and Technology >Speckle Noise Reduction based on Discrete Wavelet Transform
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Speckle Noise Reduction based on Discrete Wavelet Transform

机译:基于离散小波变换的散斑噪声抑制

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Medical images or ultra sound images are typically used in the medical fields for lots of purposes. Many problems occurred in the medical images. Main problem related to this imaging technique is introduction of speckle noise which blurs or degrades the superiority of the image. Speckle noise makes the image indistinct which is tough to see clearly. There have been several techniques to denoise the speckle noise from the images. The main goal of this thesis is that this proposed DWT+Wiener filter technique is better denoising technique than the other traditional techniques such as wiener filter, median filter, homomorphic wiener filter and homomorphic median filter to remove the speckle noise from the image. It gives the better PSNR (peak signal to noise ratio) value than the other filters. This shows the better denoisy image or clear image than the other traditional filter techniques.
机译:医学图像或超声图像通常在医学领域中用于许多目的。医学图像中出现许多问题。与这种成像技术有关的主要问题是斑点噪声的引入,该斑点噪声会模糊或降低图像的优越性。斑点噪声使图像模糊不清,难以清晰看到。已经有几种技术可以消除图像中的斑点噪声。本文的主要目的是,与其他传统技术(例如维纳滤波器,中值滤波器,同态维纳滤波器和同态中值滤波器)相比,提出的DWT +维纳滤波器技术是一种更好的去噪技术,可从图像中去除斑点噪声。它提供了比其他滤波器更好的PSNR(峰值信噪比)值。这显示了比其他传统滤镜技术更好的噪点图像或清晰图像。

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