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A new approach to reduce salt-pepper noise using a fuzzy set for gray level images

机译:一种新的灰级图像模糊集减少盐辣椒噪声的方法

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Image filtering is an important technology used to eliminate the noise of distorted images in image processing applications. Digital images are often distorted by noise during shooting, and so their original features may not be observed. For this reason, noise reduction is an important step for the analysis of noisy images produced by digital camera flaws and during transmission of data. In this study, fuzzy set and 3×3, 3×5, 2×3 size filtering windows and mean - median filters were used to reduce salt-pepper noise. The performances of the proposed methods are then compared with some methods in the literature according to Peak Signal-to-Noise Ratio (PSNR) and Mean Square Error (MSE).
机译:图像过滤是一种重要的技术,用于消除图像处理应用中的扭曲图像的噪声。数字图像通常在拍摄期间噪声扭曲,因此可能无法观察到它们的原始特征。因此,降噪是分析数字照相机漏洞和数据传输期间产生噪声图像的重要步骤。在本研究中,模糊套和3×3,3×5,2×3尺寸过滤窗口和平均中间过滤器用于减少盐辣椒噪声。然后根据峰值信噪比(PSNR)和均方误差(MSE)将所提出的方法的性能与文献中的一些方法进行比较。

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