基于云算法的脉冲噪声去除性能分析

S. Surendhar, P. Thirumurugan, S. Sasikumar
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摘要

本文提出了一种基于云算法的切换均值滤波器,它是一种强大的脉冲噪声去除方法。我们采用了一种高效的脉冲噪声检测器来检测噪声像素,并提出了云脉冲噪声去除算法来重建噪声像素的强度值。大量的实验结果表明,我们的方法在主观和客观评价方面都比目前最先进的脉冲去噪技术有更好的性能。特别地,该方法在去除脉冲噪声的同时能很好地保持边缘。由于算法简单,因此非常适合应用于实时应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance analysis of impulse noise removal using cloud algorithm
In this paper, a novel switching mean filter using cloud algorithm method is proposed, which is a powerful impulse noise removal method. We employ an efficient impulse noise detector to detect the noisy pixels and proposed cloud impulse noise removal algorithm to reconstruct the intensity value of noise pixels. Extensive experimental results demonstrate that our method can obtain better performances in terms of both subjective and objective evaluations than those state-of-the-art impulse denoising techniques. Especially, the proposed method can preserve edges very well while removing impulse noise. Since our algorithm is simple, it is very suitable to be applied to real-time applications.
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