Browse > Article
http://dx.doi.org/10.6109/jkiice.2015.19.1.230

A Study on Median Filter using Directional Mask in Salt & Pepper Noise Environments  

Hong, Sang-Woo (Department of Control and Instrumentation Engineering, Pukyong National University)
Kim, Nam-Ho (Department of Control and Instrumentation Engineering, Pukyong National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.1, 2015 , pp. 230-236 More about this Journal
Abstract
In these digital times, the image signal processing is being used in various areas like vehicle recognition, security, and robotics. Generally, the image deterioration occurs by salt & pepper noise in the procedures of image transmission, storage, and processing. Methods to remove this noise are SMF, CWMF, and SWMF and these methods have few unsatisfactory noise reduction characteristics in salt & pepper noise environment. Therefore, in order to mitigate salt & pepper noise which is added in the image, this study suggested an algorithm which subdivides the masks in the image into four areas and processes using non-noise pixel numbers in each area. Additionally, in order to prove the excellence of the proposed algorithm, relevant performances were compared with existing methods using PSNR.
Keywords
Salt & Pepper Noise; Median Filter; Image Signal Processing; Non-Noise Pixels;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
연도 인용수 순위
1 T. Chen and H. R. Wu, "Space variant median filters for the restoration of impulse noise corrupted images" IEEE Trans. Circuit Syst. II, vo1. 48, no. 8, pp. 784-789, Aug. 2011.
2 J. S. Cho and H. S. Gang, Multimedia Signal Processing, the second edition, pp. 55-58, Jul. 2011.
3 Y. Gao and N. H. Kim, "Restoration of images contaminated by mixed Gaussian and impulse noise using a complex method" JICCE, vol. 9, no. 3, pp. 331-335, June 2011.
4 R. C. Gonzalez and R. E. Woods, Eds., Digital Image Processing, Prentice Hall, 2007.
5 K. N. Plataniotis and A. N. Venetsanopoulos, Eds., Color Image Processing and Applications, Springer, Berlin, Germany, 2000.
6 J. H. Wang and L. D. Lin, "Improved median filter using min-max algorithm for image processing", Electronics Letters, vol. 33, no. 16, pp. 1479-1485, October 2005.
7 L. Yin, R. Yang, M. Gabbouj and Y. Neuvo, "Weighted median filters: a tutorial", IEEE Trans. Circuit System, vol. 43, pp. 157-192, 1996.   DOI
8 S.Zhang and M. A. Karin, "A new impulse detector for switching median filters", IEEE Signal Processing Lett., vo1. 9, no. 4, pp. 360-363, Nov. 2002.   DOI
9 S. J. Ko and Y. H. Lee, "Center weighted median filters and their application to image enhancement", IEEE Trans. Circuits system, vol. 38,no. 9, pp. 984-993, 1991.   DOI
10 J. X. Yang and H. R. Wu, "Mixed Gaussian and uniform impulse noise analysis using robust estimation for digital images", Digital Signal Processing 16th International Conference on, pp. 1-5, 2009.
11 Z. Wang and D. Zhang, "Progressive switching median filter for the removal of impulse noise from highly corrupted images", IEEE Transactions on Circuits and Systems, vol. 46(1), pp. 78-80, 1999.   DOI
12 L. Xu and N. H. Kim, "An improved adaptive median filter for impulse noise removal" JKIICE, vol. 17, no. 4, pp. 989-995, 2013.   과학기술학회마을   DOI
13 Y. Gao and N. H. Kim, "A study on removing impulse noise using modified adaptive switching median filter", JKIICE, vol. 15, no. 11, pp. 2474-2479, 2011.   과학기술학회마을   DOI
14 Y. Gao and N. H. Kim, "The modified nonlinear filter to remove impulse noise" JKIICE, vol. 15, no. 4, pp. 973-979, 2011.   과학기술학회마을   DOI
15 L. Xu and N. H. Kim, "A study on image restoration filter in impulse noise environments" JKIICE, vol. 18, no. 2, pp. 475-481, 2014.   과학기술학회마을   DOI
16 L. Xu and N. H. Kim, "Modified median filter for impulse noise removal" JKIICE, vol. 17, no. 2, pp. 461-446, 2013.   과학기술학회마을   DOI   ScienceOn
17 V. Gupta and M. Shandilya, "Image de-noising by dual threshold median filter for random valued impulse noise" IEEE, Nirma University International Conference on, , pp. 1-5, 2012.
18 L. Xu and N. H. Kim, "A study on directionally weighted filter algorithm in impulse noise environments" JKIICE, vol. 17, no. 2, pp. 461-446, 2013.
19 Y. Y. Zhou, and J. J. Huang, "Improved decision-based detail-preserving variational method for removal of random-valued impulse noise" Published in IET Image Processing, vol. 6, no. 7, pp. 978-985, 2012.
20 L. Xu and N. H. Kim, "The modified median filter using standard deviation in impulse noise environments" JKIICE, vol. 17, no. 7, pp. 1725-1731, 2013.