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Iterative Adaptive Unsymmetric Trimmed Shock Filter for High-Density Salt-and-Pepper Noise Removal

机译:用于高密度椒盐噪声消除的迭代自适应非对称修整冲击滤波器

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摘要

In this paper, an iterative adaptive unsymmetric trimmed shock filter based on partial differential equations (PDE) is proposed to remove high-density salt-and-pepper noise by preserving the edge details in the images. This algorithm consists of two steps: identification of pixels affected by the salt-and-pepper noise and recovery of these noisy pixels using adaptive unsymmetric trimmed shock filter. Shock filter has been used in image processing literature for image restoration and enhancement task. However, its use was limited to unwanted noise removal, enhancement, despeckling, etc. In the proposed work, a modified form of shock filter termed as adaptive unsymmetric trimmed shock filter is designed to remove the salt-and-pepper noise. The proposed algorithm is tested with different test images. Three performance evaluation measures: PSNR, CR and MSSIM are used to validate the proposed scheme. The performance of the proposed algorithm claims better results than the other considered eight existing state-of-the-art techniques.
机译:本文提出了一种基于偏微分方程(PDE)的迭代自适应非对称修整冲击滤波器,以通过保留图像中的边缘细节来去除高密度的椒盐噪声。该算法包括两个步骤:识别受椒盐噪声影响的像素,并使用自适应非对称调整后的冲击滤波器来恢复这些嘈杂的像素。冲击滤波器已经在图像处理文献中用于图像恢复和增强任务。但是,它的使用仅限于不必要的噪声去除,增强,去斑点等。在提议的工作中,设计了一种称为自适应非对称修整冲击滤波器的改进形式的冲击滤波器,以消除盐和胡椒的噪声。所提出的算法在不同的测试图像上进行了测试。三种性能评估方法:PSNR,CR和MSSIM用于验证所提出的方案。与其他八种现有技术相比,该算法的性能要求更好的结果。

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