A Non Adaptive Scheme for Removal of Image Noises and Its Artifact
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R. C. Gonzalez & R. E. Woods. Digital Image Processing, Addison-Wesley, 1992.
J. S. Lim. "Two-Dimensional Signal & Image Processing", Prentice-Hall, 1990, pp.524-588.
N. D. Sidiropoulos, J. S. Baras & C A Berenstein, "Optimal filtering of Digital binary images corrupted by union /intersection noise", IEEE Trans. on Image Processing,Vol.3, No.4, July 1994, pp.382-403.
I. Pitas and A.N.Venestanopoulos, “Nonlinear Digital filters Principles and Applications”, (Boston: kluwer academic Publishers, 1990).
G. R. Arce and M. P. McLoughlin, “Theoretical analysis of the MAX/Median filter,” IEEE Trans. Acoust Speech, Signal Processing, vol. ASSP-35, pp.60-69,1987.
M.J Nadeneu and S.K Mitra, “Blotch and scratch decision in image sequences based on rank order differences,” proceedings of international workshop on time varying image processing and moving object recognition, September , 1996
Motwani M.C, Gadiya M.C, Motwani R.C. and Harris Jr.F.C, “Survey of Image Denoising Techniques”,Proceedings of GSPx, Santa Clara, CA.,2004
A. Bovik, 2000, Handbook of Image and Video Processing, Academic Press, 2000.
K.Vasanth, S.Karthik., “A switched Algorithm using modified selection sort for the reduction of impulse noise”, ICTACT international journal on Image and video processing, Vol1, issue1, pages 57-64.
SJ KO and Y.H.Lee, “Center weighted median filters and their application to image enhancement,” IEEE Transactions on Circuits systems, Vol.38, no.9, pp 984-993, September 1991.
D.R.K.Brownrigg , “The weighted median filter ”, communication. ACM, vol27, no.8, pp.807-818.
E.Abreau and S.K.Mitra, “Efficient approach for the removal of impulse noise from high corrupted images “, IEEE Transactions on image processing, vol 5, no 6,pp.1012-1025, June 1996
H.Eng and K.Ma, “Noise adaptive soft-switching median filter,” IEEE Tranactions on image Processing, vol.10, no.2,pp.242-251, 2001.
Z.Wang and D.Zhang, “Progressive switching median filter for removal of impulse noise from highly corrupted images”, IEEE Transactions on Circuits Systems, II, no.46, pp 78-80, 1999.
H.Hwang and R.A.Haddad,”Adaptive median filters:New algorithms and results,” IEEE transaction on Image processing, 4, pp 499-502, 1995
Raymond H.Chan, Chung-Waa Ho and Mila Nikolova, “Salt and pepper noise removal by median –type noise detectors and detail preserving regularization,” IEEE transactions on image processing, vol14, no.10, October 2005
K.S.Srinivasan And D.Ebenezer, “A New Fast and Efficient Decision-Based Algorithm for removal of high-density Impulse noises., IEEE Signal Processing letters, vol 14,no.3.march 2007.
S.Manikandan and D.Ebenezer, “A Non Linear Decision based algorithm for removal of strip lines, drop lines, blotches, band missing and impulses in images & videos,EURASIP journal on Image and video processing, volume 2008
S Md Roomi, T.Pandy Maheswari, V.Abhai kumar, “A detail Preserving filter for impulse Noise Detection and removal, ICGST-GVIP journal, volume 7,issue 3, November 2007
D.A.Florencio and R.W. Schafer, “Decision-based median filtering using local signal logistics,” in Pro.SPIE Symp. Visual communication. Image Processing, vol. 2038, pp268-275, September 1994
S Md Roomi,IM lakshmi,V.Abahi Kumar , “A Recursive Gaussian weighted Filter for Impulse Noise Removal”, GVIP Journal, volume 6,issue 3,December,2006
Shitong Wang,Yueyang LI,Fu-Lai Chung and Min xu,“An iterative Self adaptive algorithm to impulse noise filtering in color images, international journal of information technology,Vol.11 No.10 2005.
Raymond H.chan, chen Hu and mila Nikolova, “An iterative procedure for removing Random-valued Impulse noise”, IEEE transactions on image processing , 2005
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