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Switching vector median filters based on non-causal linear prediction for detection of impulse noise

机译:基于非因果线性预测的开关矢量中值滤波器,用于检测脉冲噪声

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摘要

A new group of switching vector filters based on the non-causal linear prediction for the detection of impulse noise from colour images is presented. The proposed filters utilise the non-causal linear prediction coefficients obtained from the block-by-block autocorrelation function to find prediction vector pixel value at the centre of the filter window. Thirteen prediction coefficients are selected from the autocorrelation matrix obtained from a block of an image, and these coefficients are used to predict all pixels in that block. The difference between the predicted pixel and the original decides whether the pixel is corrupted with impulse noise. Extensive simulation experiments indicate that the new vector filters outperform the other vector filters currently used to eliminate impulse noise from colour images.
机译:提出了一种新的基于非因果线性预测的开关矢量滤波器,用于从彩色图像中检测脉冲噪声。所提出的滤波器利用从逐块自相关函数获得的非因果线性预测系数来在滤波器窗口的中心找到预测矢量像素值。从从图像块获得的自相关矩阵中选择十三种预测系数,这些系数用于预测该块中的所有像素。预测像素与原始像素之间的差异决定了像素是否因脉冲噪声而损坏。大量的仿真实验表明,新的矢量滤波器性能优于目前用于消除彩色图像脉冲噪声的其他矢量滤波器。

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