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A new MAR-PM image filtering algorithm

机译:一种新的MAR-PM图像滤波算法

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摘要

In order to solve the over-diffusion problem that often appeared in traditional PM filtering algorithm, a new PM model combined with multi-scale auto regressive (MAR) is proposed in the paper. Firstly, a series of multi-scale images can be got by MAR .Then all these images are filtered by traditional PM model and got a forecast distinct image. With this forecast result to readjust the coefficients of the PM model, the original images can be well filtered finally. The PSNR value is used to judge the efficiency, which shows the efficiency of the proposed new algorithm is much better than the other methods.
机译:为了解决经常出现在传统PM滤波算法中的过扩散问题,在纸上提出了一种新的PM模型与多尺度自动回归(MAR)相结合。首先,MAR可以通过传统的PM模型进行一系列多尺度图像。然后所有这些图像都被传统的PM模型过滤,并获得了预测不同的图像。通过该预测结果来重新调整PM模型的系数,最终可以很好地过滤原始图像。 PSNR值用于判断效率,显示所提出的新算法的效率远远优于其他方法。

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