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Impulse noise removal by a global-local noise detector and adaptive median filter

机译:全局局部噪声检测器和自适应中值滤波器消除脉冲噪声

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摘要

Noise detection-based median filters have been widely adopted to reduce impulse noise. However, the number of misclassified pixels is obviously increased at high noise density. In order to overcome this drawback, a global-local noise detector is proposed in this paper. Based on the noise detection, an adaptive median algorithm is presented. Simulation results show that the new filter can effectively reduce impulse noise and preserve more details of original images. (c) 2006 Elsevier B.V. All rights reserved.
机译:基于噪声检测的中值滤波器已被广泛采用以减少脉冲噪声。但是,在高噪声密度下,误分类像素的数量明显增加。为了克服这个缺点,本文提出了一种全局局部噪声检测器。基于噪声检测,提出了一种自适应中值算法。仿真结果表明,该新型滤波器可以有效降低脉冲噪声,并保留更多原始图像细节。 (c)2006 Elsevier B.V.保留所有权利。

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