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A New Directional Weighted Median Filter for Removal of Random-Valued Impulse Noise

机译:一种新的方向加权中值滤波器,用于去除随机值脉冲噪声

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摘要

The known median-based denoising methods tend to work well for restoring the images corrupted by random-valued impulse noise with low noise level but poorly for highly corrupted images. This letter proposes a new impulse detector, which is based on the differences between the current pixel and its neighbors aligned with four main directions. Then, we combine it with the weighted median filter to get a new directional weighted median (DWM) filter. Extensive simulations show that the proposed filter not only can provide better performance of suppressing impulse with high noise level but can preserve more detail features, even thin lines. As extended to restoring corrupted color images, this filter also performs very well
机译:已知的基于中值的去噪方法趋向于很好地用于恢复被具有低噪声水平的随机值脉冲噪声所破坏的图像,但是对于被高度破坏的图像则较差。这封信提出了一种新的脉冲检测器,该脉冲检测器基于当前像素及其与四个主要方向对齐的相邻像素之间的差异。然后,我们将其与加权中值滤波器组合在一起,以获得新的定向加权中值(DWM)滤波器。大量的仿真表明,所提出的滤波器不仅可以提供更好的抑制高噪声水平脉冲的性能,而且可以保留更多的细节特征,甚至细线。扩展到恢复损坏的彩色图像,该滤镜的性能也非常好

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