A novel algorithm for removal of salt and pepper noise using continued fractions interpolation

Signal Processing

Volumn 102, Issue , 2014, Pages 247-255

  Bai, Tian ^a,b   Tan, Jieqing ^a   Hu, Min ^a   Wang, Yan ^a  

^a HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Continued fractions interpolation; Image denoising; Impulse noise; Salt and pepper noise

Indexed keywords

ALGORITHMS; IMAGE DENOISING; IMPULSE NOISE; INTERPOLATION; PIXELS; SIGNAL FILTERING AND PREDICTION;

CONTINUED FRACTION; INTERPOLATION FILTERS; NOVEL ALGORITHM; PIXEL VALUES; PRIOR KNOWLEDGE; SALT-AND-PEPPER NOISE; WEIGHTED MEAN;

SALT REMOVAL;

EID: 84899029224     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2014.03.023     Document Type: Article

References (26)

1. J. Astola, and P. Kuosmaneen Fundamentals of Nonlinear Digital Filtering 1997 CRC Boca Raton, FL
2. H. Hwang, and R.A. Hadded Adaptive median filter: new algorithms and results IEEE Trans. Image Process. 4 4 1995 499 502
3. K.S. Srinivasan, and D. Ebenezer A new fast and efficient decision based algorithm for removal of high density impulse noise IEEE Signal Process. Lett. 14 3 2007 189 192 (Pubitemid 46477700)
4. Y.Y. Zhou, Z.F. Ye, and J.J. Huang Improved decision-based detail-preserving variational method for removal of random-valued impulse noise IET Image Process. 6 7 2012 976 985
5. K. Aiswarya, V. Jayaraj,and D. Ebenezer, A new and efficient algorithm for the removal of high density salt and pepper noise in images and videos, in: Proceedings of the Second International Conference on Computer Modeling and Simulation, 2010, pp. 409-413.
6. S. Esakkirajan, T. Veerakumar, Adabala N. Subramanyam, and C.H. PremChand Removal of high density salt and pepper noise through modified decision based unsymmetric trimmed median filter IEEE Signal Process. Lett. 18 5 2011 287 290
7. Peizhong Lu, and Wei Wang An efficient switching median filter based on local outlier factor IEEE Signal Process. Lett. 18 10 2011 551 554
8. Pei-Eng Ng, and Kai-Kuang Ma A switching median filter with boundary discriminative noise detection for extremely corrupted images IEEE Trans. Image Process. 15 6 2006 1506 1516 (Pubitemid 43778929)
9. Shuqun Zhang, and Mohammad A. Karim A new impulse detector for switching median filters IEEE Signal Process. Lett. 9 11 2002 360 363 (Pubitemid 35428548)
10. How-Lung Eng, and Kai-Kuang Ma Noise adaptive soft-switching median filter IEEE Trans. Image Process. 10 2 2001 242 251 (Pubitemid 32254594)
11. Kenny Kal Vin Toh, and Nor Ashidi Mat Isa Noise adaptive fuzzy switching median filter for salt-and-pepper noise reduction IEEE Signal Process. Lett. 17 3 2010 281 284
12. Kenny Kal Vin Toh, Haidi Ibrahim, and Muhammad Nasiruddin Mahyuddin Salt-and-pepper noise detection and reduction using fuzzy switching median filter IEEE Trans. Consum. Electron. 54 4 2008 1956 1961
13. D. Van De Ville, M. Nachtegael, D. Van der Weken, E.E. Kerre, W. Philips, and I. Lemahieu Noise reduction by fuzzy image filtering IEEE Trans. Fuzzy Syst. 11 4 2003 429 436
14. H. Xu, G. Zhu, H. Peng, and D. Wang Adaptive fuzzy switching filter for images corrupted by impulse noise Pattern Recognit. Lett. 25 15 2004 1657 1663
15. S. Madhu, and Nair G. Raju A new fuzzy-based decision algorithm for high-density impulse noise removal Signal Image Video Process. 6 4 2012 579 595
16. Naif Alajlan, Mohamed Kamel, and Ed Jernigan Detail preserving impulsive noise removal Signal Process.: Image Commun. 19 2004 993 1003
17. P. Syamala Jayasree, Paru Raj, Pradeep Kumar, Rajesh Siddavatam, and S.P. Ghrera A fast novel algorithm for salt and pepper image noise cancellation using cardinal B-splines Signal Image Video Process. 5 2 2012 1 8
18. Jian Wu, and Chen Tang Random-valued impulse noise removal using fuzzy weighted non-local means Signal Image and Video Process. 8 2 2014 349 355
19. Hsien-Hsin Chou, Ling-Yuan Hsu, and Hwai-Tsu Hu Turbulent-PSO-based fuzzy image filter with no-reference measures for high-density impulse noise IEEE Trans. Cybern. 43 1 2013 296 307
20. Xin Geng, Xiaoguang Hu, and Jin Xiao Quaternion switching filter for impulse noise reduction in color image Signal Process. 92 2012 150 162
21. Yiqiu Dong, Raymond H. Chan, and Shufang Xu A detection statistic for random-valued impulse noise IEEE Trans. Image Process. 16 4 2007 1112 1120 (Pubitemid 46542397)
22. L. Lorentzen, and H. Waadeland Continued Fractions with Applications 1992 Elsevier Science Publishers North-Holland, Amsterdam
23. C. Brezinski History of Continued Fractions and Pade Approximants 1986 Springer Heidelberg
24. H.X. Zhao, G.Q. Zhu, and J.Q. Tan Matrix-valued continued fractions J. Approx. Theory 120 2 2003 136 152
25. J.Q. Tan The limiting case of Thiele's interpolating continued fraction expansion J. Comput. Math. 19 4 2001 433 444
26. H.X. Zhao, and G.Q. Zhu A Worpitzky theorem for vector valued continued fractions J. Comput. Appl. Math 154 2 2003 107 114