Improved Adaptive Weighted Mean Filter for Salt-and-Pepper Noise Removal
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Tarih
2020
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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. © 2020 IEEE.
Açıklama
2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020 -- 12 June 2020 through 13 June 2020 -- Istanbul -- 162684
Anahtar Kelimeler
Euclidean pixel similarity; Image denoising; image processing; nonlinear function; salt-and-pepper noise
Kaynak
2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020
WoS Q Değeri
Scopus Q Değeri
N/A
