publication date and adress;
Erkan, U., Enginoğlu, S., Thanh, D.N.H., Memiş, S., 2020. Improved Adaptive Weighted Mean Filter for Salt-and-Pepper Noise Removal, Proc. of the 2nd International Conference on Electrical, Communication and Computer Engineering (ICECCE), pp. 1-5, 12-13 June, Istanbul, Turkey. doi : 10.1109/ICECCE49384.2020.9179351.
In this study, we propose an improved adaptive weighted mean filter (IAWMF) to remove salt-and-pepper noise. The most prominent advantage of IAWMF is its ability to take into account the weights of noise-free pixels in the adaptive window. Hence, the new grey value occurs closer to the original grey value of the centre pixel than the grey value computed by the adaptive weighted mean filter (AWMF). Moreover, the proposed method utilises the advantage of AWMF to reduce the error of detecting noisy pixels. In the experiments, we compare the denoising results of the proposed method with other state-of-the-art image denoising methods. The results confirm that IAWMF outperforms other methods.
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