Decision Based Switching Median Filtering Technique for Image Denoising
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Pitas. I and Venetsanopolous A, “Nonlinear Digital Filters: Principles and Application”, Norwell, MA: Kluwer, 1990.
Astola J and Kuosmanen P, “ Fundamentals of Nonlinear Digital Filtering”, Boca Raton, FL: CRC, 1997.
Amlan kundu , Sanjit K Mitra and P Vaidhyanathan, “Application of Two - Dimensional Generalized Mean Filtering for Removal of Impulse Noises from Images”, IEEE Trans. on Acoustic, Speech and Signal Processing, Vol.ASSp.32, No.3, June, 1981.
Neal C Gallagher, “Theoretical Analysis of the Properties of Median Filters”, IEEE Trans. on Acoustic, Speech and Signal Processing, Vol.ASSp.29, No.6, Dec., 1981.
Yong Hoon Lee and A. Kassam, “ Generalized Median Filtering and Related Nonlinear Filtering Techniques”, IEEE Trans. on Acoustic, Speech and Signal Processing,Vol. ASSp.33, No.3,June, 1985.
H.Hwang and R. A. Haddad, “Adaptive Median Filters: New Algorithms and results”, IEEE Trans. Image Processing, vol. 4, No.4, pp. 499–502, April 1995.
Gonzalo R. Arce, “ A Generalization Weighted Median Filter Structure Admitting Real- valued Weights”, IEEE Trans. on Signal Processing, Vol.22, No. 6, pp. 2849-2852, Dec. 1998.
Sung-Jea Ko and Yong Hoon Lee, “Center Weighted Median Filters and Their Applications to Image Enhancement”, IEEE Trans. on Circuits and Systems, Vol.38, No.9, pp. 984-993, Sep., 1991.
Sun. T and Neuvo. Y, “Detail – preserving median based filters in image processing”, Pattern Recognition Letter, Vol.15, pp. 341– 347,1994.
Zhou Wang and David Zhang “Progressive Switching Median Filter for the removal of Impulse Noise from Highly Corrupted Images”, IEEE Trans. on Circuits and Systems - II: Analog and Digital Signal Processing, Vol.46, No.1, pp. 78-80, Jan., 1999.
Tao Chen and Kai - kuang Ma, “Tri - State Median Filter for Image Denoising”, IEEE Trans. on Image Processing, Vol.8, No.12, pp.1834-1838, Dec., 1999.
Shuqun Zhang and Mohammad A Karim, “ A New Impulse Detector for Switching Median Filters”, IEEE Signal Processing Letters, Vol.9, No.11, pp. 360-363, Nov. 2002.
Pei-Eng Ng and Kai - Kuang ma, “A Switching Median Filter With Boundary Discriminative Noise Detection for Extremely Corrupted Images”, IEEE Trans.on Image Processing, Vol.15, No.6, pp.1506-1516, June 2006.
S. Md mansoor Roomi and T Pondy Maheswari, “A detail Preserving filter for Impulse Noise Detection and Removal”, ICGST-GVIP Journal, Vol. 7, No.3, Nov. 2007.
R. Pushpavalli and E. Srinivasan, “Multiple Decision Based Switching Median Filtering for Eliminating Impulse Noise with Edge and Fine Detail preservation Properties”, International conference on Signal Processing, CIT , Aug. 2007.
R. Pushpavalli and E. Srinivasan,“ Multiple Thresholds Switching Median Filtering for Eliminating Impulse Noise in Images”, International conference on Signal Processing, CIT, Aug. 2007.
Madhu S. Nair, K. Revathy, Rao Tatavarti, “An Improved Decision –Based Algorithm for Impulse Noise Removal”, Proceedings of International Congress on Image and Signal Processing - CISP IEEE Computer Society Press, Sanya, Hainan, China, Vol.1, pp.426- 431, May 2008.
M. Ciuc, V. Vrabie, M. Herbin, C. Vertan, P. Vautrot, Adaptive neighborhood best mean rank vector filter for impulsive noise removal,” Proc. of IEEE ICIP, pp. 813-816, 2008.
V.Jayaraj and D.Ebenezer, “A New Adaptive Decision Based Robust Statistics Estimation Filter for High Density Impulse Noise in Images and Videos”, International conference on Control, Automation, Communicationand Energy conversion, 2009.
Fei Duan and Yu - Jin Zhang, “A Highly Effective Impulse Noise Detection Algorithm for Switching Median Filters”, IEEE Signal Processing Letters, Vol.17, No.7, July, 2010.
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