Digital Image Filtering Techniques- A survey
DOI:
https://doi.org/10.24297/ijct.v10i6.7024Keywords:
Salt and pepper noise, Median filter, Smoothing and SharpeningAbstract
This paper presents a review on digital image filtering techniques. The main emphasis is on median filtering and its extended versions like hybrid median filtering, relaxed median filtering etc. It is found that still median filtering demands some sort of enhancements as it is best for salt and pepper noise only. By conducting a survey suitable gaps are found in existing literature. In the end comparison table is also drawn among the existing techniques.
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References
[1] S. Esakkirajan, T. Veerakumar, Adabala N. Subramanyam, and C. H. PremChand. 2011 Removal of High Density Salt and Pepper Noise Through Modified Decision Based Unsymmetric Trimmed Median Filter. IEEE SIGNAL PROCESSING LETTERS, VOL. 18, NO. 5
[2] Priyanka Kamboj, Versha Rani. 2013 Image Enhancement Using Hybrid Filtering Techniques. International Journal of Science and Research. Vol 2, No. 6, June 2013.
[3] Shanmugavadivu, Eliahim Jeevaraj. 2012 Laplace Equation based Adaptive Median Filter for Highly Corrupted Images. International Conference on Computer Communication and Informatics
[4] Shanmugavadivu P and Eliahim Jeevaraj P S. 2011 Fixed–Value Impulse Noise Suppression for Images using PDE based Adaptive Two-Stage Median Filter. ICCCET-11 (IEEE Explore), pp. 290-295.
[5] K. S. Srinivasan and D. Ebenezer. 2007 A new fast and efficient decision based algorithm for removal of high density impulse noise. IEEE Signal Process. Lett, vol. 14, no. 3, pp. 189–192
[6] V. Jayaraj and D. Ebenezer. 2010 A new switching-based median filtering scheme and algorithm for removal of high-density salt and pepper noise in image. EURASIP J. Adv. Signal Process.
[7] K. Aiswarya, V. Jayaraj, and D. Ebenezer. 2010 A new and efficient algorithm for the removal of high density salt and pepper noise in images and videos. Second Int. Conf. Computer Modeling and Simulation, pp. 409–413.
[8] Gnanambal Ilango and R. Marudhachalam. 2011 new hybrid filtering techniques for removal of Gaussian noise from medical images.ARPN Journal of Engineering and Applied Sciences.
[9] P. E. Ng and K. K. Ma. 2006 A switching median filter with boundary discriminative noise detection for extremely corrupted images. IEEE Trans. Image Process. vol. 15, no. 6, pp. 1506–1516
[10] Afrose. 2011 Relaxed Median Filter: A Better Noise Removal Filter for Compound Images. International Journal on Computer Science and Engineering (IJCSE) Vol. 4 No. 07
[11] Rafael C. Gonzalez, et al., 2005. Digital Image Processing using MATLAB, second Ed, Pearson Education, India.
[12] Median Filtering, [Last Visited] 18 June 2013 [Online] [Available] www.mathworks.com.
[13] Chan, R. H. Salt and pepper noise removal by median-type noise detectors and detail-preserving regularization. IEEE Trans. on Image Processing, Vol. 14, no. 10, pp 1479-148
[14] H. Hwang and R. A. Hadded. 1995 Adaptive median filter: New algorithms and results. IEEE Trans. Image Process, vol. 4, no. 4, pp. 499–502, Apr. 1995.
[15] J. Astola and P. Kuosmaneen.1997 Fundamentals of Nonlinear Digital Filtering. Boca Raton, FL: CRC, 1997.
[2] Priyanka Kamboj, Versha Rani. 2013 Image Enhancement Using Hybrid Filtering Techniques. International Journal of Science and Research. Vol 2, No. 6, June 2013.
[3] Shanmugavadivu, Eliahim Jeevaraj. 2012 Laplace Equation based Adaptive Median Filter for Highly Corrupted Images. International Conference on Computer Communication and Informatics
[4] Shanmugavadivu P and Eliahim Jeevaraj P S. 2011 Fixed–Value Impulse Noise Suppression for Images using PDE based Adaptive Two-Stage Median Filter. ICCCET-11 (IEEE Explore), pp. 290-295.
[5] K. S. Srinivasan and D. Ebenezer. 2007 A new fast and efficient decision based algorithm for removal of high density impulse noise. IEEE Signal Process. Lett, vol. 14, no. 3, pp. 189–192
[6] V. Jayaraj and D. Ebenezer. 2010 A new switching-based median filtering scheme and algorithm for removal of high-density salt and pepper noise in image. EURASIP J. Adv. Signal Process.
[7] K. Aiswarya, V. Jayaraj, and D. Ebenezer. 2010 A new and efficient algorithm for the removal of high density salt and pepper noise in images and videos. Second Int. Conf. Computer Modeling and Simulation, pp. 409–413.
[8] Gnanambal Ilango and R. Marudhachalam. 2011 new hybrid filtering techniques for removal of Gaussian noise from medical images.ARPN Journal of Engineering and Applied Sciences.
[9] P. E. Ng and K. K. Ma. 2006 A switching median filter with boundary discriminative noise detection for extremely corrupted images. IEEE Trans. Image Process. vol. 15, no. 6, pp. 1506–1516
[10] Afrose. 2011 Relaxed Median Filter: A Better Noise Removal Filter for Compound Images. International Journal on Computer Science and Engineering (IJCSE) Vol. 4 No. 07
[11] Rafael C. Gonzalez, et al., 2005. Digital Image Processing using MATLAB, second Ed, Pearson Education, India.
[12] Median Filtering, [Last Visited] 18 June 2013 [Online] [Available] www.mathworks.com.
[13] Chan, R. H. Salt and pepper noise removal by median-type noise detectors and detail-preserving regularization. IEEE Trans. on Image Processing, Vol. 14, no. 10, pp 1479-148
[14] H. Hwang and R. A. Hadded. 1995 Adaptive median filter: New algorithms and results. IEEE Trans. Image Process, vol. 4, no. 4, pp. 499–502, Apr. 1995.
[15] J. Astola and P. Kuosmaneen.1997 Fundamentals of Nonlinear Digital Filtering. Boca Raton, FL: CRC, 1997.
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Published
2013-08-23
How to Cite
Digital Image Filtering Techniques- A survey. (2013). INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 10(6), 1738–1742. https://doi.org/10.24297/ijct.v10i6.7024
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Research Articles
