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Abstract
In the present paper a comparative performance evaluation of standard median filter and adaptive median filter for impulsive and non- impulsive noises has been discussed. The Adaptive Median Filter eliminates the problems faced with the standard median filter, preserving the edges while smoothing the image. The difference between the two filters is that, in Adaptive Median Filter, the size of the window surrounding each pixel is variable. This variation depends on the median of the pixels in the present window. It is seen that impulse noise is greatly attenuated if filtered adaptively.
Keywords: De- noising, median filtering, Adaptive median filtering, impulsive noise, non-impulsive noise##plugins.themes.academic_pro.article.details##
How to Cite
Singhal, S., & Thakare, V. V. (2014). Compartive Evaluation of Standard and Adaptive Median Filter for Removing Different Type of Noises. International Journal of Emerging Trends in Science and Technology, 1(07). Retrieved from https://igmpublication.org/ijetst.in/index.php/ijetst/article/view/355
References
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Hwang, H., Haddad, R.A., Image Processing, IEEE Transactions on, Volume: 4 Issue: 4.
[2] Selective removal of impulse noise based on homogeneity level information GoucholPok; Jyh-Charn Liu; Nair, A.S.; Image Processing, IEEE Transactions on , Volume: 12 Issue: 1, Jan. 2003.
[3] Pawan Patidar, Manoj Gupta, Sumit Srivastava and Ashok Kumar Nagawat, Image De-noising by Various Filters for Different Noise‖, International Journal of Computer Applications (0975 –8887), Volume 9– No.4, November 2010.
[4] Shiv Singh, Dr. G.C.Lall, Performance Analysis of Various Impulse Noise Reduction Techniques in Images., International Journal of Advanced Research in Computer Science and Software engineering,Volume 2, Issue 6, June 2012 ISSN: 2277 128X.
[5] Chanchal Srivastava, Saurabh Kumar Mishra, Pallavi Asthana, G. R. Mishra, O.P. Singh, Performance Comparison of Various Filters and Wavelet Transform for Image De-Noising‖, IOSR Journal of Computer Engineering, e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 10, Issue 1 (Mar. - Apr. 2013), PP 55-63.
[6] Neenu Raju, V. Karunakaran, Â\An Efficient Method for Removing Impulse Noise From The Image., International Journal of Computer Science and Management Research, Vol 2 Issue 3 March 2013.
[7] Hadi Sadoghi Yazdi, Faranak Homayouni, Impulsive Noise Suppression of Images Using Adaptive Median Filter‖, International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol. 3, No. 3, September, 2010.
[8] Dr. M.Anand, Y. Narasimha Murthy, “Removal of Salt and Pepper Noise fromhighly Corrupted Images using Mean Deviation statistical parameterâ€, International Journal on Computer Science and Engineering (IJCSE), ISSN : 0975-3397.
[9] R. Srinivas, Satarupa Panda, “Performance Analysis of Various Filters for Image Noise Removal in Different Noise Environmentâ€, International Journal of Advanced Computer Research, ISSN (online): 2277-7970), Volume-3 Number-4 Issue-13 December-2013.
[10] Irphan Ali Shaik et.al. , “Impulse Noise Detection and Filtering Based On Adaptive Weighted Median Filterâ€, International Journal of Engineering and Science, ISBN: 2319-6483, ISSN: 2278-4721, Vol. 1, Issue 8 (November 2012), PP 49-54.
[11] Sukhwinder Singh, Dr. Neelam Rup Prakash, “Modified Adaptive Median Filter forSalt & Pepper Noiseâ€, International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 1, January 2014.
Hwang, H., Haddad, R.A., Image Processing, IEEE Transactions on, Volume: 4 Issue: 4.
[2] Selective removal of impulse noise based on homogeneity level information GoucholPok; Jyh-Charn Liu; Nair, A.S.; Image Processing, IEEE Transactions on , Volume: 12 Issue: 1, Jan. 2003.
[3] Pawan Patidar, Manoj Gupta, Sumit Srivastava and Ashok Kumar Nagawat, Image De-noising by Various Filters for Different Noise‖, International Journal of Computer Applications (0975 –8887), Volume 9– No.4, November 2010.
[4] Shiv Singh, Dr. G.C.Lall, Performance Analysis of Various Impulse Noise Reduction Techniques in Images., International Journal of Advanced Research in Computer Science and Software engineering,Volume 2, Issue 6, June 2012 ISSN: 2277 128X.
[5] Chanchal Srivastava, Saurabh Kumar Mishra, Pallavi Asthana, G. R. Mishra, O.P. Singh, Performance Comparison of Various Filters and Wavelet Transform for Image De-Noising‖, IOSR Journal of Computer Engineering, e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 10, Issue 1 (Mar. - Apr. 2013), PP 55-63.
[6] Neenu Raju, V. Karunakaran, Â\An Efficient Method for Removing Impulse Noise From The Image., International Journal of Computer Science and Management Research, Vol 2 Issue 3 March 2013.
[7] Hadi Sadoghi Yazdi, Faranak Homayouni, Impulsive Noise Suppression of Images Using Adaptive Median Filter‖, International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol. 3, No. 3, September, 2010.
[8] Dr. M.Anand, Y. Narasimha Murthy, “Removal of Salt and Pepper Noise fromhighly Corrupted Images using Mean Deviation statistical parameterâ€, International Journal on Computer Science and Engineering (IJCSE), ISSN : 0975-3397.
[9] R. Srinivas, Satarupa Panda, “Performance Analysis of Various Filters for Image Noise Removal in Different Noise Environmentâ€, International Journal of Advanced Computer Research, ISSN (online): 2277-7970), Volume-3 Number-4 Issue-13 December-2013.
[10] Irphan Ali Shaik et.al. , “Impulse Noise Detection and Filtering Based On Adaptive Weighted Median Filterâ€, International Journal of Engineering and Science, ISBN: 2319-6483, ISSN: 2278-4721, Vol. 1, Issue 8 (November 2012), PP 49-54.
[11] Sukhwinder Singh, Dr. Neelam Rup Prakash, “Modified Adaptive Median Filter forSalt & Pepper Noiseâ€, International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 1, January 2014.