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Multichannel Image Processing by use the Median M-Type L-Filter

机译:使用中值M型L滤镜进行多通道图像处理

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摘要

In this paper, we introduce the Vector Median M-type L (VMML) -filter to remove impulsive and Gaussian noise from color images and video color sequences. This filter utilizes vector approach and the Median M-type (MM) estimator with different influence functions in the filtering scheme of L-filter. We also introduce the use of impulsive noise detectors to improve the properties of noise suppression and detail preservation in the proposed filtering scheme in the case of low and high densities of impulsive noise. To demonstrate the performance of the proposed filtering scheme in real applications, we applied it for filtering of SAR images, which naturally have speckle noise. Simulation results indicate that the proposed filter consistently outperforms other color image filters by balancing the tradeoff between noise suppression, detail preservation, and color retention.
机译:在本文中,我们介绍了向量中值M型L(VMML)滤波器,以消除彩色图像和视频彩色序列中的脉冲和高斯噪声。该滤波器在L滤波器的滤波方案中利用矢量方法和具有不同影响函数的中值M型(MM)估计器。在低密度和高密度脉冲噪声的情况下,我们还介绍了使用脉冲噪声检测器来改善建议的滤波方案中噪声抑制和细节保留的特性。为了证明所提出的滤波方案在实际应用中的性能,我们将其应用于自然产生斑点噪声的SAR图像的滤波。仿真结果表明,通过在噪声抑制,细节保留和色彩保留之间进行权衡,所提出的滤镜始终优于其他彩色图像滤镜。

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