Image corruption is a common phenomenon which occurs due to electromagnetic interference, and electric signal instabilities in a system. In this letter, a novel multi procedure Min-Max Average Pooling based Filter is proposed for removal of salt, and pepper noise that betide during transmission. The first procedure functions as a pre-processing step that activates for images with low noise corruption. In latter procedure, the noisy image is divided into two instances, and passed through multiple layers of max, and min pooling which allow restoration of intensity transitions in an image. The final procedure recombines the parallel processed images from the previous procedures, and performs average pooling to remove all residual noise. Experimental results were obtained using MATLAB software, and show that the proposed filter significantly improves edges over exiting literature. Moreover, Peak Signal to Noise Ratio was improved by 1.2 dB in de-noising of medical images corrupted by medium to high noise densities.

中文翻译：

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用于脉冲噪声去除的基于最小-最大平均池化的滤波器

图像损坏是系统中由于电磁干扰和电信号不稳定而发生的常见现象。在这封信中，提出了一种新的基于多过程最小-最大平均池化的滤波器，用于去除传输过程中出现的椒盐噪声。第一个过程用作预处理步骤，为具有低噪声损坏的图像激活。在后面的过程中，嘈杂的图像被分成两个实例，并通过多个最大和最小池化层，允许恢复图像中的强度转换。最后的过程重新组合来自先前过程的并行处理的图像，并执行平均池化以去除所有残留噪声。实验结果是使用MATLAB软件得到的，并表明所提出的过滤器显着改善了现有文献的边缘。此外，在对被中高噪声密度破坏的医学图像进行去噪时，峰值信噪比提高了 1.2 dB。