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首页> 外文会议>2014 International Conference on Advances in Engineering and Technology Research >An efficient adaptive median filtering approach for the removal of impulse noise
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An efficient adaptive median filtering approach for the removal of impulse noise

机译：一种有效的自适应中值滤波方法，用于消除脉冲噪声

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摘要

This paper proposes an efficient and fast approach for filtering the salt and pepper and random valued impulse noise. The algorithm first implies the simple statistical operations for the identification of noisy pixel then after proposes the noisy pixel by an adaptive median filter based approach. The simple architecture and the utilization of computationally efficient mathematical operations for the processing makes the algorithm very fast. The proposed algorithm works well for low density as well as very high density salt and pepper noise and it also filters the random valued impulse noise efficiently. Finally the simulation results of denoising the images corrupted by salt and pepper and random valued impulse noise with the noise density up to 99 % has been presented. The results of proposed method are also compared with the other existing method, and the comparison shows the performance improvement of our method by acceptable margin.
机译：本文提出了一种有效，快速的方法来过滤盐和胡椒以及随机值的脉冲噪声。该算法首先暗含用于识别噪声像素的简单统计操作，然后通过基于自适应中值滤波器的方法提出噪声像素。简单的体系结构以及对处理的高效计算数学运算的利用使该算法非常快速。所提出的算法对于低密度以及非常高密度的盐和胡椒噪声都适用，并且还可以有效地过滤随机值的脉冲噪声。最后，给出了对噪声和盐度高达99％的盐和胡椒以及随机值脉冲噪声进行图像去噪的仿真结果。将该方法的结果与其他现有方法进行了比较，比较结果表明该方法的性能提高了可接受的余量。

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