[1] Eng, H.L., Ma, K.K. (2001). “Noise adaptive soft-switching median filter”. IEEE Transactions on Image Processing, Vol. 10, No. 2, pp. 2542-251.
[2] Astola, J. and Kuosmanen, P. (1977). “Fundamentals of Nonlinear Digital Filtering”. CRC Press.
[3] Gong, B., Im, J., Mountrakis, G. (2011). “An artificial immune network approach to multi-sensor land use/land cover classification”. Remote Sensing Environment, Vol. 115, No. 2, pp. 600–614.
[4] Naseem, I., Togneri, R., Bennamoun, M. (2012). “Robust regression for face recognition”. Pattern Recognition, Vol. 45, No. 1, pp. 104–118.
[5] Luo, W. (2006). “An Efficient Detail-Preserving Approachfor Removing Impulse Noise in Images”. IEEE Signal Processing Letters, Vol. 13, No. 7, pp. 413-416.
[6] Hsieh, M.H., Cheng, F.Ch., ChauShie, M., JangRuan, Sh. (2013). “Fast and efficient median filter for removing 1–99% levels of salt-and-pepper noise in images”. Engineering Applications of Artificial Intelligence, Vol. 26, No. 4, pp. 1333-1338.
[7] Pitas, I. and Venetsanopoulos, A.N. (1990). “Nonlinear Digital Filters: Principles and Applications”. Kluwer, Norwell.
[8] Zhang, X., Zhan, Y., Ding, M., Hou, W., Yin, Zh. (2013). “Decision-based non-local means filter for removing impulse noise from digital images”. Signal Processing, Volume 93, No. 2, pp. 517-524.
[9] Jain, A.K. (1989). “Fundamentals of Digital Image Processing”. Prentice & Hall.
[10] Arce, G.R. and Foster, R.E. (1989). “Detail-preserving ranked-order based filters for image processing”. IEEE Transaction on Acoust., Speech, Signal Processing, Vol. 37, No. 1, pp. 83–98.
[11] Bovik, A.C., Huang T.S., and Munson, D.C. (1985). “Edge-sensitive image restoration using order-constrained least squares methods”. IEEE Transaction on Acoustics Speech Signal Processing, Vol. 33, No. 5, pp. 1253–1263.
[12] Nodes, T.A. and Gallagher, N.C. (1984). “The output distribution of median type filters”. IEEE Transaction on Communications, Vol. 32, No. 5, pp. 532–541.
[13] Bovik, A.C. (1985). “Streaking in median filtered images”. IEEE Transactions on Acoustics Speech Signal Processing, Vol. 35, No. 4, pp. 493–503.
[14] Yang, R., Lin, L., Gabbouj, M., Astola, J. and Neuvo, Y. (1995). “Optimal weighted median filters under structural constraints”. IEEE Trans Signal Processing, Vol. 43, No. , pp. 591–604.
[15] Chen, T. and Wu, H. (2001). “Adaptive impulse detection using center-weighted median filters”. Signal Processing Letters, Vol. 8, No. 1, pp. 1–3.
[16] Song, T., Gabbouj, M., and Neuvo, Y. (1994). “Center weighted median filters: some properties and applications in image processing”. Signal Processing, Vol. 35, No. 3, pp. 213–229.
[17] Ko, S.J. and Lee, Y.H. (1991). “Center weighted median filters and their applications to image enhancement”. IEEE Transactions on Circuits and Systems,Vol. 38, No. 9, pp.984–993.
[18] Hardie, R.C., and Barner, K.E. (1994). “Rank conditioned rank selection filters for signal restoration”. IEEE Trans. Image Process., Vol. 3, No. 2, pp. 192–206.
[19] Sun, T. and Neuvo, Y. (1994). “Detail-preserving median based filters in image processing”. Pattern Recognit. Letters, Vol. 15, No. 4, pp. 341–347.
[20] Zhang, S., and Karim, M.A. (2002). “A new impulse detector for switching median filters”. IEEE Signal Processing Letters, Vol. 9, No. 11, pp. 360–363.
[21] Florencio, D.A.F., and Shafer, R.W. (1994). “Decision-based median filter using local signal statistics”. Visual Communication and Image Processing 94, Chicago, Illinois, United States, 25 September.
[22] Zhang, D. and Wang, Z. (1997). “Impulse noise detection and removal using fuzzy techniques”. IEE Electronics Letters, Vol. 33, No. 5, pp. 378–379.
[23] Russo, F., and Ramponi, G. (1996). “A fuzzy filter for images corrupted by impulse noise”. IEEE Signal Processing Letters, Vol. 3, No. 6, pp. 168–170.
[24] Abreu, E., Lightstone, M., Mitra, S.K., and Arakawa, K. (1996). “A new efficient approach for the removal of impulse noise from highly corrupted images”. IEEE Transactions on Image Processing, Vol. 5, No. 6, pp. 1012–1025.
[25] Hwang, H., and Haddad, R.A. (1995). “Adaptive median filters: Newalgorithms and results”. IEEE Transactions on Signal Processing, Vol. 4, No. 4, pp. 499–502.
[26] Lin, H., and Willson, A.N. (1988). “Median filter with adaptive length”. IEEE Transactions on Circuits and Systems, Vol. 35, No. 6, pp. 675–690.
[27] Chen, T., Ma, K., and Chen, L. (1999). “Tri-state median filter for image denoising”. IEEE Transaction on Image Processing, Vol. 8, No. 12, pp. 1834–1838.
[28] Xu, X., Miller, E.L., Chen, D., and Sarhadi, M. (2004). “Adaptive Two-Pass Rank Order Filter to Remove Impulse Noise in Highly Corrupted Images”. IEEE Transactions On Image Processing, Vol. 13, No. 2.
[29] Dang, D., Luo, W. (2007). “Impulse noise removal utilizing second-order difference analysis”. Signal Processing, Vol. 87, No. 9, pp. 2017-2025.
[30] Yuan, S.Q., Tan, Y.H. (2006). “Impulse noise removal by a global–local noise detector and adaptive median filter”. Signal Processing, Vol. 86, No. 8, pp. 2123-2128.
[31] Deng, Z.F., Yin, Z.P., Xiong, Y.L. (2007). “High probability impulse noise- removing algorithm based on mathematical morphology”. IEEE Signal Processing Letters, Vol. 14, No. 1, pp. 31–34.
[32] Srinivasan, K.S., Ebenezer, D. (2007). “A new fast and efficient decision-based algorithm for removal of high-density impulse noises”. IEEE Signal Processing Letters, Vol. 14, No. 3, pp. 189-192.
[33] Chen, P.Y., Lien, C.Y. (2008). “An efficient edge-preserving algorithm for removal of salt-and-pepper noise”. IEEE Signal Processing Letters, Vol. 15, pp. 833-836.
[34] Zhang, X.M., Xiong, Y.L. (2009). “Impulse noise removal using directional weighted noise detector and adaptive weighted mean filter”. IEEE Signal Processing Letters, Vol. 16, No. 4, pp. 295-298.
[35] Wang, Z., and Zhang, D. (1999). “Progressive switching median filter for removal of impulsive noise from highly corrupted image”. IEEE Transaction on Circuits and Systems II, Analog and Digitital Signal Processing, Vol. 46, No. 1, pp. 78-80.
[36] Gonzalez, R.C., Woods, R.E., (2002). “Digital Image Processing”. Second Edition, Prentice & Hall Inc.
[37] Sampath, A., and Shan, J. (2004). “Urban modelling based on segmentation and regularization of airborne lidar point clouds”. ISPRS Archives, Istanbul, Turkey, 12-23 July.
[38] Shan, J., and Sampath, A. (2005). “Urban dem generation from raw lidar data: a labeling algorithm and its performance”. Photogrammetric Engineering and Remote Sensing, Vol. 71, No. 02, pp. 217–226.
[39] Khoshelham, K., Nardinocchi, C., Frontoni, E., Mancini, A., and Zingaretti, P. (2011). “Performance evaluation of automated approaches to building detection in multi-source aerial data”. ISPRS Journal of Photogrammetry and Remote Sensing, Vol.65, No.1, pp.123-133.
[40] Salamon, D. (2007). “Data Compression: The complete Reference”. Fourth Edition, Springer-Verlag, London.
[41] Salamon, D. (2005). “Coding for Data and Comupter Communications”. Springer.
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