Adaptive fuzzy switching filter for images corrupted by impulse noise

Pattern Recognition Letters

Volumn 25, Issue 15, 2004, Pages 1657-1663

  Xu, Haixiang ^a   Zhu, Guangxi ^a   Peng, Haoyu ^a   Wang, Desheng ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Filter; Fuzzy logic; Image processing; Impulse noise; Nonlinear technique

Indexed keywords

COMPUTER SIMULATION; FUZZY CONTROL; IMAGE RECONSTRUCTION; IMPULSE NOISE; NOISE ABATEMENT; PROBABILITY; SWITCHING SYSTEMS;

LINEAR FRAMEWORKS; MEDIAN FILTERS; NONLINEAR TECHNIQUES; PIXELS;

OPTICAL FILTERS;

EID: 5644235567     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2004.05.025     Document Type: Article

References (17)

1. Abreu E., Lightstone M., Mitra S.K., Arakawa K. A new efficient approach for the removal of impulse noise from highly corrupted images. IEEE Trans. Image Process. 5:1996;1012-1025.
2. Alexander F., Kenneth E.B., Gonzalo R.A. Fuzzy ranking: Theory and Applications. Signal Process. 80:2000;1017-1036.
3. Arakawa K. Median filter based on fuzzy rules and its application to image restoration. Fuzzy Sets Syst. 77:1996;3-13.
4. Arce G.R. Statistical threshold decomposition for recursive and nonrecursive median filter. IEEE Trans. Inform. Theory. 32:1986;243-253.
5. Astola J., Kuosmanen P. Fundamentals of Nonlinear Digital Filtering. 1997;CRC, Boca Raton, FL.
6. Coyle, E.J., Gabbouj, M., Lin, J.-H., 1991, From median filters to optimal stack filtering. In: IEEE Internat. Symp. Circuits Systems, vol. 1, pp. 9-12.
7. Chen T., Wu H.R. Space variant median filters for the restoration of impulse noise corrupted images. IEEE Trans. Circuits Syst. 48:2001;784-789.
8. Han W., Lin J. Minimum-maximum exclusive mean (MMEM) filter to remove impulse noise from highly corrupted images. Electron. Lett. 33:1997;124-125.
9. Jing, C., Sheng, Y.J., Runtao, D., 2000. Fuzzy weighted average filter. In: Proc. ICSP2000, pp. 525-528.
10. Kashyap R.L., Eom K.B. Robust image modelling techniques with an image restoration application. IEEE Trans. Acoust., Speech, Sig. Process. 36:1988;1313-1325.
11. Ko S.J., Lee Y.H. Center weighted median filters and their applications to image enhancement. IEEE Trans. Circuits Syst. 38:1991;984-993.
12. Nieminen A., Heinonen P., Neuvo Y. A new class of detail-preserving filters for image processing. IEEE Trans. Pattern Anal. Machine Intell. PAMI-9:1987;74-90.
13. Sun T., Neuvo Y. Detail-preserving median based filters in image processing. Pattern Recognition Lett. 15:1994;341-347.
14. Tsai H., Yu P. Adaptive fuzzy hybrid multichannel filters for removal of impulsive noise from color images. Signal Process. 74:1999;127-151.
15. Wang Z., Zhang D. Progressive switching median filter for the removal of impulse noise from highly corrupted images. IEEE Trans. Circuits Syst. 46:1999;78-80.
16. Zervakis M.E., Venetsanopoulos A.N. Linear and nonlinear image restoration under the presence of mixed noise. IEEE Trans. Circuits Syst. 38:1991;258-272.
17. Zhang S., Karim M.A. A new impulse detector for switching median filters. IEEE Signal Process. Lett. 9, 2002;360-363.