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A switching weighted vector median filter based on edge detection

机译:基于边缘检测的开关加权矢量中值滤波器

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摘要

An impulse noise removal method based on noise detection and image edge detection is proposed to improve the performance of vector median filter. Corrupted pixels are first discriminated from the noise-free pixels by comparing the current pixel with the corresponding pixel in a reference image. Then corrupted pixels are filtered by the proposed weighted vector median filter. The novelty of this filter lies in its weighting technique based on image edge detection. The weight of each pixel is determined by its group which is related to the image edge. This method can suppress noise and reduce edge blurring effectively. Experimental results show that the proposed method outperforms all algorithms examined in this paper in terms of MAE, MSE and PSNR values.
机译:为了提高矢量中值滤波器的性能,提出了一种基于噪声检测和图像边缘检测的脉冲噪声去除方法。首先通过将当前像素与参考图像中的相应像素进行比较,从无噪声像素中区分出损坏的像素。然后,通过建议的加权矢量中值滤波器对损坏的像素进行滤波。该滤波器的新颖之处在于其基于图像边缘检测的加权技术。每个像素的权重由其与图像边缘相关的组确定。该方法可以抑制噪声并有效减少边缘模糊。实验结果表明,该方法在MAE,MSE和PSNR值方面均优于本文研究的所有算法。

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