A Comparative Study Of Impulse Noise Reduction In Digital Images For Classical And Fuzzy Filters

A Comparative Study Of Impulse Noise Reduction In Digital Images For Classical And Fuzzy Filters

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-10
Year of Publication : 2013
Authors : K.Manivel , Dr. R.Samson Ravindran

Citation 

K.Manivel , Dr. R.Samson Ravindran. "A Comparative Study Of Impulse Noise Reduction In Digital Images For Classical And Fuzzy Filters". International Journal of Engineering Trends and Technology (IJETT). V4(10):4584-4589 Oct 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.

Abstract

Efficient impulse noise removal is an important issue in image processing. It is caused error in the data communication generated in noisy sensors or communication channels or by error during the data capture from digital cameras, scanning i.e. one form of image is converted to another form. In this paper we review on generalized classical and fuzzy filters for good impulse noise reduction, analysis and compare the various filter performance such as mean square error, peak signal to noise ratio as well as in terms of visual quality and low execution time.

References

[1] E.E.Kerre and M.Nachtegael, Fuzzy Techniques in Image Processing, 1st ed. Heidelberg, Germany: Physica Verlag, Vol.52, 2000.
[2] M.Nachtegael, D.Van der Weken, D. Van de Ville, and E.E.Kerre, Fuzzy Filter for Image Processing, 1st ed. Heidelberg, Germany: Physica Verlag.Vol.122. 2003.
[3] Stefan Schulte, Mike Nachtegael etal, De Witte,Dietrich Van der weken, and Etienne E. Kerre, A Fuzzy impulse noise detection reduction method. Image processing, IEEE Transactions on volume 15, issue 5, pp: 1153-1162. May 2006.
[4] Gonzalez, R.C, Woods. R.E, Digital Image Processing. Engle-Wood Cliffs, NJ: Prentice- Hall of India Pvt.Ltd.
[5] T.Chen, K.K.Ma, and L.H.Chen, Tri-State Median Filter for Image denoising, IEEE Trans, Image Process., Volume.8, no.12, pp. 1834-1838, December. 1999.
[6] Subg-Jea Ko and Yong Hoon, Center Weighted Median Filters and their Applications to Image Enhancement, IEEE Trans on Circuits and Systems., Volume.38, No.9, September 1991.
[7] M.Sreedevi, C.Vijay Kumar, N.V.S.Pavan Kumar, Removing Impulse Noise in Gray Scale Images Using Mi Max and Mid Point Filters. IJARCS, Volume.2, No.6, pp 377-379, Nov-Dec 2011.
[8] Sheng-Fu Liang, Shih-Mao Lu, Jyh-Yeong Chang, Chin-Teng Lin. A novel two-stage impulse noise removal technique based on neural networks and fuzzy decision. Fuzzy systems, IEEE Transactions on vol.16, issue 4, page(s): 863-873.2008, August 2008.
[9] H Hwang and R A Haddad. Adaptive median filter: new algorithms and results, IEEE Transactions on Image Processing Volume.4, No.4, April 1995.
[10] J.Alavandan, Dr. S.Santhosh Baboo. Enhanced Switching Median Filter for De-Noising Ultrasound, IJARCE. Volume.3, No.2, March-April 2012.
[11] Zhou Wang and David zhang. Progressive switching median filter for the removal of impulse noise from highly corrupted images. IEEE Transaction on circuits and system- II: Analog and Digital Signal Processing Vol.46, No. 1 January 1999.
[12] I. Pitas and A.N.Venetsanopoulos. Non-Linear Digital Filters: Principles and Applications. Kluwer Academic Publishers.
[13] B.Reusch, M.Fathi, L.Hildebrand, fuzzy color processing for quality improvement, in: international forum on multimedia and image processing, 1998, pp.841-848.
[14] C.S.Lee, Y.H.Kuo, P.T.Yu, Weighted Fuzzy Mean Filter for Image Processing. Fuzzy techniques in image processing, fuzzy sets and systems, volume. 89, pp. 157-180, 1997.
[15] H.Kong, L.Guan, A Noise Exclusive Adaptive Filtering Frame Work for removing impulse noise in Digital Image, IEEE Trans. Circuit System. 45(3), pp 422-428, 1998.
[16] M. Jampour, M.Ziari, Reza Ebrahim Zadeh, Maryam Ashourzadeh. Impulse Noise Detection and Reduction using Fuzzy Logic and Median Heuristic Filter, International Conference on Networking and Information Technology, 2010.
[17] F.Farbiz, M.B.Menhaj, A Fyzzy Logic Control Based Approach for Image Filtering, Fuzzy Techniques in Image Processing(E.E. Krerre and M.Nachtegael, Editors), Springer- Verlag, pp.194-221, 2000
[18] F.Russo,G.Ramponi, A Fuzzy Filter for Images Corrupted by Impulse Noise. IEEE Signal Proceedings Letters, Vol.3, No.6, pp.168-170, 1999.
[19] F.Russo, Fire Operator for Image Processing, Fuzzy Sets and Systems, 103, pp. 265-275. 1999.

Keywords
Digital Image, Impulse noise, Noise removal, Classical filter, Fuzzy filter.