International Journal of Image, Graphics and Signal Processing(IJIGSP)
ISSN: 2074-9074 (Print), ISSN: 2074-9082 (Online)
Published By: MECS Press
IJIGSP Vol.7, No.9, Aug. 2015
A Relook and Renovation over State-of-Art Salt and Pepper Noise Removal Techniques
Full Text (PDF, 732KB), PP.61-69
Salt and pepper noise is a type of impulse noise, where certain amount of black and white dots appear in the image. The intensity is accumulated in 8 bit integer, giving 256 possible gray levels in the range (0 – 255).In this range salt and pepper noise takes either minimum or maximum intensity. Positive impulse appears as white (salt) points with intensity '255' and negative impulse appears as black (pepper) points with intensity '0' respectively. Salt and pepper noise removal is not an easy task mostly when noise density in the contaminated image is high and restoration of image quality is essential. Different filters like MF, SMF, AMF, PSMF, DBA, DBUTMF, and MDBUTMF and so on are noticed useful for taking away low, moderate and high density salt and pepper noise. The purpose of this paper is to present these filters first and then revise their art to enhance their performances and usefulness. The comparison shows that some of these filters are very fruitful in some particular noise density levels and hence classified applications on these situations are recommended based on the output of investigations.
Cite This Paper
Aritra Bandyopadhyay, Shubhendu Banerjee, Atanu Das, Rajib Bag,"A Relook and Renovation over State-of-Art Salt and Pepper Noise Removal Techniques", IJIGSP, vol.7, no.9, pp.61-69, 2015.DOI: 10.5815/ijigsp.2015.09.08
A. Dixit and P. Sharma, "A Comparative Study of Wavelet Thresholding for Image Denoising," I.J. Image, Graphics and Signal Processing, Vol.6, No. 12, pp. 39-46, june, 2014.
A. Joshi, A. K. Boyat, and B. K. Joshi, "Impact of Wavelet Transform and Median Filtering on Removal of Salt and Pepper Noise in Digital Images," International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014.
A. Jourabloo, A. H. Feghahati, and M. Jamzad, "New Algorithms for Recovering Highly Corrupted Images with Impulse Noise," Sci. Iranica, 2012.
A. Kumar, N. Agarwal, J. Bhadviya, G. Mittal, and G. Ramponi, " An Efficient New Edge Preserving Technique for Removal of Salt and Pepper Noise," 8th International Symposium on Image and Signal Processing and Analysis(ISPA 2013).
A. Kundu, S. K. Mitra, and P. P .Vaidyanathan, "Application of Two-Dimensional Generalized Mean Filtering for Removal of Impulse Noises from Images," IEEE Transactions on Acoustics, Speech and Signal Processing, Vol.ASSP-32, No.3, June 1984.
B. Deka and S. Choudhury, "A Multiscale Detection based Adaptive Median Filter for the Removal of Salt and Pepper Noise from Highly Corrupted Images," International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol. 6, No. 2, pp. 129-144, April, 2013.
C. Wang, T. Chen, and Z. Qu, "A novel improved median filter for salt-and-pepper noise from highly corrupted images," Systems and Control in Aeronautics and Astronautics (ISSCAA), 2010 3rd International Symposium on, pp.718-722, 8-10 June, 2010.
E. Abreu and S. K. Mitra, "Signal dependent rank ordered mean filter," Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 1995.
E. Abreu, M. Lightstone, S. K. Mitra, and K. Arakawa, "A new efficient approach for the removal of impulse noise from highly corrupted images," IEEE Trans. Image Processing, vol. 5, pp. 1012–1025, June, 1996.
H. Hwang and R. A. Hadded, "Adaptive median filter: New algorithms and results," IEEE Trans. Image Process., vol. 4, No. 4, pp. 499-502, Apr, 1995.
J. Astola and P. Kuosmaneen, Fundamentals of Nonlinear Digital Filtering. Boca Raton, FL: CRC, 1997.
J. W. Tukey, Exploratory Data Analysis (preliminary ed.). Reading , MA : Addision-Wesley, 1971.
J. W. Tukey, Explanatory Data Analysis, Addison-Wesley Mento Park, 1977.
K. Aiswarya, V. Jayaraj, and D. Ebenezer, "A new and efficient algorithm for the removal of high density salt and pepper noise in image and video," Proc. of Second Int. Conf. Computer Modeling and Simulation, pp. 409-413, 2010.
K. Kannan, "A new Decision Based Median Filter using Cloud Model for the removal of high density Salt and Pepper noise in digital color images," I.J. Image, Graphics and Signal Processing, Vol.6, No. 4, pp. 46-53, june, 2014.
K. K. V. Toh and N. A. M. Isa, "Noise Adaptive Fuzzy Switching Median Filter for Salt-and-Pepper Noise Reduction," IEEE Signal Processing Lett.,Vol 17, No. 3, pp. 281 – 284, 2010.
K. S. Srinivasan and D. Ebenezer, "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, Mar, 2007.
M. R. Banham and A. I. Katsaggelos, "Digital Image Restoration," IEEE Signal Processing Magazine, Vol. 14, No. 2, pp. 24-41, March, 2007.
M. H. Hsieh, F. C. Cheng, M. C. Shie, and S. J. Ruan, "Fast and Efficient Median Filter for Removing 1-99% Levels of Salt-and-Pepper Noise in Images," Eng. Applicat. Artif. Intell., 2012.
Priyanka Kamboj and Versha Rani, "A brief study of various noise model and filtering technique," Journal of Global Research in Computer Science, Volume 4, No.4, April 2013.
P. Zhang and F. Li, "A New Adaptive Weighted Mean Filter for Removing Salt-and-Pepper Noise," IEEE Signal Process. Lett., Vol. 21, No. 10, Oct, 2014.
Q. Jihong, C. Lei, and C Yan, "A Mehod for Wide Density Salt and Pepper Noise Removal," 26th Chinese Control and Decision Conference(CCDC), 2014.
R. C. Gonzalez and R. E. Woods, Digital Image Processing, 2nd ed. Upper Saddle River, NJ: Prentice-Hall, 2001.
R. H. Chan, Chung-Wa Ho, and M. Nikolova, "Salt-and-Pepper Noise Removal by Median-Type Noise Detectors and Detail-Preserving Regularization," IEEE Transactions on Image Processing, Vol.14, No.10, October, 2005.
R. Nisha, P. Jeenath, M. Sudheekshitha, and B.M. Reddy, "Restoration of Images Corrupted by High Density Salt & Pepper Noise through Adaptive Median Based Modified Mean Filter," IOSR Journal of Electronics and Communication Engineering (IOSR-JECE), Vol. 5, Issue 5, pp. 11-15, Mar.-Apr, 2013.
Geoffrine Judith.M.C and N. Kumarasabapathy, "Study and Analysis of Impulse Noise Reduction Filters," Signal & Image Processing: An International Journal(SIPIJ), Vol.2, No.1, March, 2011.
S. Banerjee, A Bandyopadhyay, R Bag, and A Das, "Moderate Density Salt & Pepper Noise Removal," IJECT Vol. 6, Issue 1, Spl- 1 Jan – March, 2015.
S. Banerjee, A Bandyopadhyay, R Bag, and A Das, " Neighborhood Based Pixel Approximation for High Level Salt and Pepper Noise Removal," CiiT International Journal of Digital Image Processing, Vol. 6, No. 8, pp. 346-351, Nov, 2014.
S.Esakkirajan, T.Veerakumar, A.n. Subramanyam, and C. H. PremChand, "Removal of High Density Salt and Pepper Noise Through Modified Decision Based Un-symmetric Trimmed Median Filter," IEEE Signal Process. Lett., Vol. 18, No. 5, May, 2011.
S. Zhang and M. A. Karim, "A new impulse detector for switching median filters," IEEE Signal Processing Lett., Vol 9, No. 11, pp. 360 –363, Nov, 2002.
T .S. Huang, G. J. Yang, and G. Y. Tang, "A Fast Two-Dimensional Median Filtering Algorithm, " IEEE Transactions on Acoustics, Speech and Signal Processing, Vol.ASSP-27 No.1, February, 1979.
T. Sun and Y. Neuvo, "Detail-preserving median based filters in image processing," Pattern Recognit. Lett., vol. 15, pp. 341–347, Apr, 1994.
V. Jayaraj and D. Ebenezer, "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, 2010.
W. K. Pratt, "Median filtering," in Semiannual Report, Image Processing Institute, Univ. of Southern California, pp. 116-123, Sept. 1975.
W. Mu, J. Jin, H. Feng, and Q. Wang, "Adaptive Window Multistage Median Filter for Image Salt-and-pepper Denoising," IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2013.
X. Yin and J. Zhu, "Salt and Pepper Noise Removal Based On Nonlocal Mean Filter," IEEE, 978-1-4799-2860-6/13, 2013.
Z. Wang and D. Zhang, "Progressive Switching Median Filter for the Removal of Impulse Noise from Highly Corrupted Images," IEEE Transactions on Circuit and Systems-II: Analog and Digital Signal Processing, Vol.46.1, January, 1999.