FLANN-based adaptive threshold selection for detection of impulsive noise in images

AEU - International Journal of Electronics and Communications

Volumn 61, Issue 7, 2007, Pages 478-484

  Majhi, Banshidhar ^a   Kumar Sa, Pankaj ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Adaptive threshold; Impulse detection; Median filter; Random valued impulsive noise; Sliding window; Threshold selection

Indexed keywords

IMPULSE NOISE; NEURAL NETWORKS; PIXELS; SIGNAL DETECTION; STANDARDS;

ADAPTIVE THRESHOLD SELECTION; RANDOM VALUED IMPULSIVE NOISE; SLIDING WINDOW; THRESHOLD SELECTION;

IMAGE ANALYSIS;

EID: 34249712926     PISSN: 14348411     EISSN: 16180399     Source Type: Journal    
DOI: 10.1016/j.aeue.2006.08.007     Document Type: Article

References (19)

1. Zhang S., and Karim M.A. A new impulse detector for switching median filters. IEEE Signal Process Lett 9 (2002) 360-363
2. Pitas I., and Venetsanopolous A.N. Nonlinear digital filters: principles and applications (1990), Kluwer Press, Dordrecht
3. Astola J., and Kuosmanen P. Fundamentals of nonlinear filtering (1997), CRC Press, Boca Raton, FL
4. Gonzalez R.C., and Woods R.E. Digital image processing (2002), Prentice-Hall, Englewood Cliffs, NJ
5. Brownrigg D.R.K. The weighted median filter. Commun ACM 27 (1984) 807-818
6. Justusson B.I. Median filtering: statistical properties (1981), Springer, New York, USA
7. Abreu E., and Mitra S.K. A signal-dependent rank ordered mean (SD-ROM) filter - a new approach for removal of impulses from highly corrupted images. Int Conf Acoustics Speech Signal Process ICASSP-95 4 (1995) 2371-2374
8. Ko S.J., and Lee Y.H. Center weighted median filters and their applications to image enhancement. IEEE Trans Circuits Systems 38 (1991) 984-993
9. Chen T., and Wu H.R. Adaptive impulse detection using center-weighted median filters. IEEE Signal Process Lett 8 (2001) 1-3
10. Xu X., and Miller E.L. Adaptive two-pass median filter to remove impulsive noise. Proceedings of international conference on image processing, 2002 (September 2002) I-808-I-11
11. Crnojevic V., Senk V., and Trpovski Z. Advanced impulse detection based on pixel-wise MAD. IEEE Signal Process Lett 11 (2004) 589-592
12. Kondo K., Haseyama M., and Kitajima H. An accurate noise detector for image restoration. Proceedings of international conference on image processing, 2002 (September 2002) I-321-I-4
13. Wang Z., and Zhang D. Progressive switching median filter for the removal of impulse noise from highly corrupted images. IEEE Trans Circuits Systems-II: Analog Digital Signal Process 46 (1999) 78-80
14. Alajlan N., Kamel M., and Jernigan E. Detail preserving impulsive noise removal. Signal Process: Image Commun 19 (2004) 993-1003
15. Khriji L., and Gabbouj M. Median-rational hybrid filters. Proceedings of international conference on image processing, 1998 (October 1998) 853-857
16. Haykin S. Neural networks. 2nd ed. (1999), Prentice-Hall, Englewood Cliffs, NJ
17. Patra J.C., Pal R.N., Chatterji B.N., and Panda G. Identification of nonlinear dynamic systems using functional link artificial neural networks. IEEE Trans Systems Man Cybernet 29 (1999) 254-262
18. Patra J.C., Panda G., and Baliarsingh R. Artificial neural network-based nonlinearity estimation of pressure sensors. IEEE Trans Instrum Meas 43 (1994) 874-881
19. Russo F. Impulse noise cancellation in image data using a two-output nonlinear filter. Measurement 36 (2004) 205-213