结合CBAE和中值滤波进行边缘保持滤波,增强图像

H. M. Ibrahim, R. Gharieb, A. H. Ibrahim
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引用次数: 1

摘要

本文提出了基于二维高阶统计量(2DHOS)的自适应增强器的改进版本,称为基于中位数累积量的自适应增强器(MCBAE)。与中值滤波和基于二维累积量的自适应增强器(2DCBAE)相比,改进后的方法在保持边缘和衰减未知协方差的高斯白噪声或有色噪声(W/CGN)方面表现出更好的性能。仿真结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Edge preserving filtering by combining CBAE and median filter for image enhancement
This paper presents a modified version of the two-dimensional higher order statistics (2DHOS) based adaptive enhancer, called median cumulant based adaptive enhancer (MCBAE). Compared with both median filter and the two-dimensional cumulant based adaptive enhancer (2DCBAE), the modified method shows better properties in preserving edges and attenuating white or colored Gaussian noise (W/CGN) of unknown covariance. Simulation results are provided to verify the effectiveness of the proposed method.
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