A novel adaptive Recursive Median Filter in image noise reduction based on using the entropy

Proceedings - 2012 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2012

Volumn , Issue , 2012, Pages 520-523

  Dehghani Tafti, Abdolreza ^a   Mirsadeghi, Ehsan ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

entropy; Image processing; noise reduction; Recursive Median Filter

Indexed keywords

ADAPTIVE FILTERING; CONTROL SYSTEMS; ENTROPY; IMAGE PROCESSING; MEDIAN FILTERS; NOISE ABATEMENT;

ADAPTIVE STRUCTURE; ENTROPY VALUE; IMAGE NOISE REDUCTION; MOVING WINDOW;

IMAGE DENOISING;

EID: 84875999272     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCSCE.2012.6487201     Document Type: Conference Paper

References (10)

1. A. K. Jain, Fundamentals of Digital Image Processing, Prentice Hall; 1989.
2. R. C. Gonzalez and R. E. Woods, Digital Image Processing, 3rd ed., Prentice Hall; 2008.
3. S. Jayaraman, S. Esakkirajan and T. Veerakumar, Digital Image Processing, Tata McGraw Hill; 2009.
4. G.Qiu, "An Improved Recursive Median Filtering Scheme for Image Processing," IEEE Transactions on Image Processing, vol. 5, no. 4, April 1996.
5. L. Yin, R. Yang, M. Gabbouj, Y. Neuvo , "Weighted Median Filters: A Tutorial" IEEE Transactions on Circuits and Systems-11: Analog and Digital Signal Processing, vol. 43, no. 3, March 1996.
6. K. V.Toh, H.Ibrahim andM. N. Mahyuddin,"Salt-and-Pepper Noise Detection and Reduction using Fuzzy SwitchingMedian Filter,". IEEE Trans. on Consumer Electronics, pp.1956-1961, 2008.
7. A. D. Tafti and E. Mirsadeghi, "Neural Network with Median Filter for Image Noise Reduction," International Conference on Mechatronic Systems and Materials, inpress, 2012
8. S. J. Ko, Y. H. Lee and A. T. Fam, "Efficient Implementation of One-DimensionalRecursive Median Filters," IEEE Transactions on Circuits and Systems, vol. 37, no. 11, November 1990.
9. Image Processing Toolbox User's GuideVersion 5,Copyright 1993-2004 by The MathWorks, Inc.
10. R. M. Gray, Entropy and Information Theory, Springer-Verlag, New York, Revised 2009