[1] KHAN S, LEE D H.An adaptive dynamically weighted median filter for impulse noise removal[J]. EURASIP Journal on Advances in Signal Processing, 2017. doi: 10.1186/s13634-017-0502-z.
[4] ROY A, SINGHA J, MANAM L, et al. Combination of adaptive vector median filter and weighted mean filter for removal of high-density impulse noise from colour images[J]. IET Image Processing, 2017, 11(6):352-361.
[5] TUCKEY J W. Exploratory data analysis[M].Boston:Addison-Wesley Pub.Co., 1977:163-182.
[6] SHRESTHA S. Image denoising using new adaptive based median filters[J].Signal & Image Processing, 2014, 5(4):1-13.
[7] SRINIVASAN K S, EBENEZER D.A new fast and efficient decision-based algorithm for removal of high-density impulse noises[J]. IEEE Signal Processing Letters, 2007, 14(3):189-192.
[8] JAYARAJ V, EBENEZER D. A new switching-based median filtering scheme and algorithm for removal of high-density salt and pepper noise in images[J].EURASIP Journal on Advances in Signal Processing, 2010.doi:10.1115/2010/690218.
[9] ESAKKIRAJAN S, VEERAKUMAR TSUBRAMANYAM A N, et al.Removal of high density salt and pepper noise through modified decision based unsymmetric trimmed median filter[J].IEEE Signal Processing Letters, 2011, 18(5):287-290.
[10] DAS J, DAS B , SAIKIA J, et al. Removal of salt and pepper noise using selective adaptive median filter[C]//International Conference on Accessibility to Digital World, IEEE, 2017:203-206.
[11] KUNSOTH R, BISWAS M.Modified decision based median filter for impulse noise removal[C]//International Conference on Wireless Communications, Signal Processing and Networking, IEEE, 2016:1316-1319.
[12] AHMED F, DAS S. Removal of high-density salt-and-pepper noise in images with an iterative adaptive fuzzy filter using alpha-trimmed mean[J]. IEEE Transactions on Fuzzy Systems, 2014, 22(5):1352-1358.
[14] HUYNH-THU Q, GHANBARI M. Scope of validity of PSNR in image/video quality assessment[J]. Electronics Letters, 2008, 44(13): 800-801.
[15] WANG Z, BOVIK A C, SHEIKH H R, et al. Image quality assessment:from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 2004, 13(4): 600-612.