Erkan, UgurThanh, Dang N. H.Enginoglu, SerdarMemis, Samet2025-01-272025-01-272020978-172817116-6https://doi.org/10.1109/ICECCE49384.2020.9179351https://hdl.handle.net/20.500.12428/125282nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020 -- 12 June 2020 through 13 June 2020 -- Istanbul -- 162684In 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.eninfo:eu-repo/semantics/closedAccessEuclidean pixel similarity; Image denoising; image processing; nonlinear function; salt-and-pepper noiseConference Object10.1109/ICECCE49384.2020.91793512-s2.0-85091900048N/A