An Efficient Procedure for Removing Salt and Pepper Noise in Images
Huang TS, Yang GJ, Tang GY (1979). A fast two-dimensional median filtering algorithm. IEEE Transactions on Acoustics, Speech, and Signal Processing, 27(1), pp. 13–18.
Brownrigg DRK (1984). The weighted median filter. Communications of the ACM, 27(8), pp. 807–818.
Ko SJ, Lee YH (1991). Center weighted median filters and their applications to image enhancement. IEEE Transactions on Circuits and Systems, 38(9), pp. 984–993.
Sun T, Neuvo Y (1994). Detail-preserving median based filters in image processing. Pattern Recognition Letters, 15(4), pp. 341–347.
Hwang H, Haddad RA (1995). Adaptive median filters: New algorithms and results. IEEE Transactions on Image Processing, 4(4), pp. 499–502.
Chen T, Ma KK, Chen LH (1999). Tri-state median filters for image denoising. IEEE Transactions on Image Processing, 8(12), pp. 1834–1838.
Chen T, Wu HR (2001). Adaptive impulse detection using center-weighted median filter. IEEE Signal Processing Letters, 8(1), pp. 1–3.
Srinivasan KS, Ebenezer D (2007). A new fast and efficient decision-based algorithm for removal of high-density impulse noises. IEEE Signal Processing Letters, 14(3), pp. 189–192.
Kkishorebabu V, Varatharajan R (2020). A decision based unsymmetrical trimmed modified winsorized variants for the removal of high density salt and pepper noise in images and videos. Computer communications, 154, pp. 433-441.
Thanh DNH, Hai NH, Prasath VBS, Hieu LM, Tavares JMRS (2020). A two-stage filter for high density salt and pepper denoising. Multimedia tools and applications, 79(29), pp.21013-21035.
Chen PY, Lien CY (2008). An efficient edge-preserving algorithm for removal of salt-and-pepper noise. IEEE Signal Processing Letters, 15, pp. 833–836.
Toh KKV, Isa NAM (2010). Noise adaptive fuzzy switching median filter for salt-and-pepper noise reduction. IEEE Signal Processing Letters, 17(3), pp. 281–284.
Wang Y, Wang J, Song X, Han L (2016). An efficient adaptive fuzzy switching weighted mean filter for salt-and-pepper noise removal. IEEE Signal Processing Letters, 23(11), pp. 1582–1586.
Singh V, Dev R, Dhar NK, Agrawal P, Verma NK (2018). Adaptive type-2 fuzzy approach for filtering salt and pepper noise in grayscale images, IEEE Transactions Fuzzy system, 26(5), pp.3170-3176.
Chan RH, Ho CW, Nikolova M (2005). Salt-and-pepper noise removal by median-type noise detectors and detail preserving regularization. IEEE Transactions on Image Processing, 14(10), pp. 1479–1485.
Thanh DNH, Thanh LT, Hien NN and Prasath VBS (2020), Adaptive total vatiation L1 regularization for salt and pepper image denoising. Optik, 208, pp. 1-10.
Jayasree PS, Raj P, Kumar P, Siddavatam R, Ghrera SP (2012). A fast novel algorithm for salt and pepper image noise cancellation using cardinal B-splines. Signal Image Video Process, 5(2), pp. 1–8.
Bai T, Tan J, Hu M, Wang Y (2014). A novel algorithm for removal of salt and pepper noise using continued fractions interpolation. Signal Processing, 102, pp. 247–255.
Ramadan ZM (2012). Efficient restoration method for images corrupted with impulse noise. Circuits, Systems, and Signal Processing, 31, pp. 1397–1406.
Enginoglu S, Erkan U, Memis S (2019), Pixel similarity-based adaptive riesz mean filter for salt-and-pepper noise removal, Multimedia Tools Applications,78, 35401-35418.
Xu G, Tan J (2014). A universal impulse noise filter with an impulse detector and nonlocal means. Circuits, Systems, and Signal Processing, 33, pp. 421–435.
This work is licensed under a Creative Commons Attribution 3.0 License.