|Title: ||Adaptive switching weight mean filter for salt and pepper image denoising
||Author(s): ||Thanh D.N.H.
||Keywords: ||Filter; Image denoising; Image noise; Image restoration; Pepper; Salt
||Abstract: ||We propose Adaptive Switching Weight Mean Filter (ASWMF) to remove the salt and pepper noise. Instead of using median or mean, ASWMF assigns value of a switching weight mean (SWM) to grey value of the centre pixel of an adaptive window. SWM is evaluated by eliminating all noisy pixels from the adaptive window and putting a low weight for pixels on the diagonals and a high weight for pixels outside the diagonals. ASWMF can remove noise with various noise levels effectively. It not only successes for low-density denoising, but also removes medium-density and high-density noise impressively. In experiments, we compare denoising results with other similar denoising methods. According to intuition as well as error metrics such as the peak signal-to-noise ratio and the structure similarity, ASWMF outperforms other methods.
||Issue Date: ||2020
||Publisher: ||Elsevier B.V.
||Series/Report no.: ||Vol. 171
|Appears in Collections:||Conference Papers|