A new switching-based median filtering scheme and algorithm for removal of high-density salt and pepper noise in images

Eurasip Journal on Advances in Signal Processing

Volumn 2010, Issue , 2010, Pages

  Jayaraj, V ^a   Ebenezer, D ^a  

^a SRI KRISHNA COLLEGE OF ENGINEERING AND TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

EDGE PRESERVATIONS; HIGH-DENSITY; LINEAR PREDICTION; LINEAR PREDICTORS; MEDIAN FILTERING; NOISY PIXELS; QUANTITATIVE RESULT; RESTORATION OF IMAGES; SALT-AND-PEPPER NOISE;

COMPUTATIONAL COMPLEXITY; EDGE DETECTION; IMAGE QUALITY; SALT REMOVAL;

ALGORITHMS;

EID: 77957829198     PISSN: 16876172     EISSN: 16876180     Source Type: Journal    
DOI: 10.1155/2010/690218     Document Type: Article

References (21)

1. Pitas I., Venetsanopoulos A. N., Nonlinear Digital Filters Principles and Applications 1990 Norwell, Mass, USA Kluwer Academic Publishers
2. Astola J., Kuosmanen P., Fundamentals of Nonlinear Digital Filtering 1997 Boca Raton, Fla, USA CRC Press
3. Gallagher N. C. Jr., Wise G. L., A theoretical analysis of the properties of median filters IEEE Transactions on Acoustics, Speech, and Signal Processing 1981 29 6 1136 1141
4. Nodes T. A., Gallagher N. C. Jr., Median filters: some modifications and their properties IEEE Transactions on Acoustics, Speech, and Signal Processing 1982 30 5 739 746
5. Abreu E., Lightstone M., Mitra S. K., Arakawa K., A new efficient approach for the removal of impulse noise from highly corrupted images IEEE Transactions on Image Processing 1996 5 6 1012 1025
6. Brownrigg D. R. K., The weighted median filter Communications of the ACM 1984 27 8 807 818
7. Yli-Harja O., Astola J., Neuvo Y., Analysis of the properties of median and weighted median filters using threshold logic and stack filter representation IEEE Transactions on Signal Processing 1991 39 2 395 410
8. Arce G. R., Paredes J. L., Recursive weighted median filters admitting negative weights and their optimization IEEE Transactions on Signal Processing 2000 48 3 768 779
9. Dong Y., Xu S., A new directional weighted median filter for removal of random-valued impulse noise IEEE Signal Processing Letters 2007 14 3 193 196
10. Chen T., Ma K.-K., Chen L.-H., Tri-state median filter for image denoising IEEE Transactions on Image Processing 1999 8 12 1834 1838
11. Hwang H., Haddad R. A., Adaptive median filters: new algorithms and results IEEE Transactions on Image Processing 1995 4 4 499 502
12. Zhang S., Karim M. A., A new impulse detector for switching median filters IEEE Signal Processing Letters 2002 9 11 360 363
13. Eng H.-L., Ma K.-K., Noise adaptive soft-switching median filter IEEE Transactions on Image Processing 2001 10 2 242 251
14. Wang Z., Zhang D., Progressive switching median filter for the removal of impulse noise from highly corrupted images IEEE Transactions on Circuits and Systems II 1999 46 1 78 80
15. Ng P.-E., Ma K.-K., A switching median filter with boundary discriminative noise detection for extremely corrupted images IEEE Transactions on Image Processing 2006 15 6 1506 1516
16. Chan R. H., Ho C.-W., Nikolova M., Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization IEEE Transactions on Image Processing 2005 14 10 1479 1485
17. Srinivasan K. S., Ebenezer D., A new fast and efficient decision-based algorithm for removal of high-density impulse noises IEEE Signal Processing Letters 2007 14 3 189 192
18. Hayes M. H., Statistical Digital Signal Processing and Modeling 2002 Singapore John Wiley Sons
19. Schulte S., Nachtegael M., DeWitte V., van der Weken D., Kerre E. E., A fuzzy impulse noise detection and reduction method IEEE Transactions on Image Processing 2006 15 5 1153 1162
20. Ben Hamza A., Krim H., Image denoising: a nonlinear robust statistical approach IEEE Transactions on Signal Processing 2001 49 12 3045 3054
21. Wang Z., Bovik A. C., Sheikh H. R., Simoncelli E. P., Image quality assessment: from error visibility to structural similarity IEEE Transactions on Image Processing 2004 13 4 600 612