A scheme for Salt and Pepper noise reduction on graylevel and color images

Proceedings of the 9th WSEAS International Conference on Signal Processing, Computational Geometry and Artificial Vision, ISCGAV '09

Volumn , Issue , 2009, Pages 57-61

  Premchaiswadi, Nucharee ^a   Yimngam, Sukanya ^b   Premchaiswadi, Wichian ^c  

^a DHURAKIJ PUNDIT UNIVERSITY   (Thailand)

^b KASETSART UNIVERSITY   (Thailand)

^c SIAM UNIVERSITY   (Thailand)

Author keywords

Applied kFill algorithm and Median Filter; Image processing; KFill algorithm; Noise reduction; PSNR; Salt and Pepper noise

Indexed keywords

APPLIED KFILL ALGORITHM AND MEDIAN FILTER; COLOR IMAGES; DOCUMENT SCANNING; GRAY SCALE; GRAY-LEVEL; MEDIAN FILTER; NOISE REDUCTIONS; SALT-AND-PEPPER NOISE; WINDOW SIZE;

ACOUSTIC NOISE MEASUREMENT; ALGORITHMS; IMAGING SYSTEMS; SCANNING; SIGNAL PROCESSING; VISION;

COMPUTATIONAL GEOMETRY;

EID: 74549157065     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. R.C. Gonzalez and R.E. Woods., 1992, Digital Image Processing, Addison-Wesley.
2. National Institute of Standard and Technology." Noise Reduction - The Rank Filter" [Online]. Available http://www.nist.gov/lispix/imlab/ noise/shottc.html 2003.
3. Krisana Chinnasarn, Yuttapong Rangsanseri and Punya Thitimajshima, "Removing Salt-and-Pepper Noise in Text/Graphics Images". IEEE Computer Society Press, 1998.
4. G.A. Story, L.O'Gorman and D.Fox., "The RightPages Image-Based Electronic Library for Alerting and Browsing" Computer, Vol. 25, No.9, Sept. 1992, pp.17-26.
5. L.O'Gorman and R. Kasturi., Document Image Analysis. IEEE Computer Society Press, 1995.
6. Wikipedia, the free encyclopedia "Median Filter" [Online]. Available :http://en.wikipedia.org/wiki/Median-filter.
7. Wikipedia, the free encyclopedia "Peak signal-tonoise ratio" [Online]. Available : http://en.wikipedia.org/wiki/Peak-signal-to-noise-ratio.
8. Nucharee Premchaiswadi, Sukanya Yimngam and Wichian Premchaiswadi, "An Input Improvement for an Optical Character Recognition System using Noise Reduction", Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2007 (pp. 2136-2143).