论文标题
基于中位过滤器和相位一致性的总变化denoising方法
A Total Variation Denoising Method Based on Median Filter and Phase Consistency
论文作者
论文摘要
总变异方法广泛用于图像噪声抑制。但是，此方法很容易导致图像细节的丢失，并且对诸如迭代时间之类的参数也很敏感。在这项工作中，使用基于相位一致性的扩散速率调节器和中位过滤器和相位一致性边界的融合过滤器对总变异方法进行了修改，这称为MPC-TV方法。实验结果表明，MPC-TV方法在噪声抑制中有效，尤其是在消除斑点噪声方面，并且还可以提高电视方法的迭代时间在噪声方面的稳健性。
The total variation method is widely used in image noise suppression. However, this method is easy to cause the loss of image details, and it is also sensitive to parameters such as iteration time. In this work, the total variation method has been modified using a diffusion rate adjuster based on the phase congruency and a fusion filter of median filter and phase consistency boundary, which is called the MPC-TV method. Experimental results indicate that MPC-TV method is effective in noise suppression, especially for the removing of speckle noise, and it can also improve the robustness of iteration time of TV method on noise with different variance.
