A novel adaptive tolerance filter for random valued impulse noise suppression in digital grey and color images

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    During acquisition, transmission, storage and retrieval, quite often digital images become noised and mask the important details of an image and also present themselves with an ugly look. Such images if not processed properly, become useless for subsequent image processing operations like segmentation, classification etc. Hence the quality improvement (through denoising) of such noisy images becomes an important operation in the field of image processing. This paper proposes a two stage detection-estimation based filtering system to suppress random valued impulse noise from digital grey and color images based on neighborhood statistics of pixels of the working window under consideration. An adaptive working window and the adaptive tolerance computed from the pixels belonging to the current filtering window facilitates an appropriate detection of noisy pixels in the first phase, followed by the simple and computationally efficient restoration strategy in the second stage. The Simulation results prove that the proposed scheme exhibits much superior performance in comparison with other state of art image filtering methods in suppressing the random valued impulse noise from the digital grey and color images.


  • Keywords


    Adaptive Tolerance; Denoising; Detection-Estimation Based Strategy; Neighborhood Statistics; Random Valued Impulse Noise (RVIN); Peak-Signal-To-Noise Ratio (PSNR); Mean Square Error (MSE); Structural Similarity (SSIM) Index.

  • References


      [1] R.C.Gonzalez, R.E. Woods, "Digital Image Processing (2nd Edition)", Prentice Hall/ Addison-Wesley; 2002.

      [2] Sonali R. Mahalale, Nileshsingh V.T., "A Comparative Study of Image Filtering on Various Noisy pixels", International Journal of Image Processing and Vision Sciences, ISSN (Print): 2278 – 1110, Volume-1, Issue-2, 2012.

      [3] Sin Hoong Teoh, Boon Tatt Koik, and Haidi Ibrahim, "Exploration of Current Trend on Median Filtering Methods Utilized in Digital Grayscale Image Processing", International Journal of Materials, Mechanics and Manufacturing, Vol. 1, No. 1, February 2013.

      [4] Ajay Kumar Nain, Surbhi Singhania, Shailender Gupta, Bharat Bhushan, "A Comparative Study of Mixed Noise Removal Techniques", International Journal of Signal Processing, Image Processing and Pattern Recognition,Vol.7,No.(2014),pp.405-414, http:// dx.doi.org/10.14257/ijsip.2014.7.1.37 ISSN: 2005.

      [5] Pragati Agarwal,Jayendra Singh Verma, "A Survey of Linear and Non-Linear Filters for Noise Reduction ",International Journal of Advance Research in Computer Science and Management Studies", ISSN: 2321-7782,Vol.1, Issue 3, August,2012.

      [6] Z.Wang, D. Zhang, "Progressive Switching Median Filter for the Removal of Impulse Noise from Highly Corrupted Images, "IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, Vol. 46, no. 1, pp. 78–80, 1990. http://dx.doi.org/10.1109/82.749102.

      [7] Madhu S. Nair, K. Revathy, Rao Tatavarti, Removal of Salt-and Pepper Noise in Images: A New Decision-Based Algorithm, Proceedings of the International Multi Conference of Engineers and Computer Scientists, 2008 Vol II, MECS 2008, 19-21 March, 2008.

      [8] S.Esakkirajan, T.Veerakumar, Adabala, N.Subramanyam and C.H. Prem Chand, "Removal of High Density Salt and Pepper Noise Through Modified Decision Based Unsymmetrical Trimmed Median Filter," IEEE Signal Processing Letters, Vol. 18, No.5, May 2011. http://dx.doi.org/10.1109/LSP.2011.2122333.

      [9] Mahdi Shaneh, and Arash Golibagh Mahyari, "Image Enhancement using α-Trimmed Mean ε- Filters, World Academy of Science, Engineering and Technology, Vol:5 2011-11-22.

      [10] 9Xudong Jiang,"Iterative Truncated Arithmetic Mean Filter and Its Properties", IEEE Transactions on Image Processing, Vol.21, No.4, April 2012.

      [11] K.Vasant, S.Kartik,"Performance Analysis Of Unsymmetrical Trimmed Median As Detector On Image Noise And Its FPGA Implementation",International Journal Information Sciences And Techniques (IJIST),Vol.2.No.3, May 2012,DOI:10.5121/ijist.2012.2302. http://dx.doi.org/10.5121/ijist.2012.2302.

      [12] A.Rajmani,V.Krishnaveni, "Impulse Denoising Algorithm for Grey and RBG Images", International Journal of Computer Applications (0975 – 8887) Volume 70– No.2, May 2013.

      [13] Srinivasan, K.S., Ebenezer. D.,"A New Fast and Efficient Decision Based Algorithm for Removal of High-density Impulse Noise," IEEE Signal Processing Letters, Vol.14, no. 3, pp.189–192, 2007. http://dx.doi.org/10.1109/LSP.2006.884018.

      [14] A. Fabijanska and D. Sankowski, "Noise adaptive switching median-based filter for impulse noise removal from extremely corrupted images," IET Image Processing, Vol. 5, issue 5, pp. 472-480, 2011. [15] Geeta Hanji and M.V.Latte, "Detail Preserving Fast Median Based Filter," Journal of Advanced Computer Science and Technology, 1(4) (2012) 195-206 © Science Publishing Corporation, www.sciencepubco.com/index.php/JACSTarticle/view/24.

      [15] Geeta Hanji and M.V.Latte,"A New Threshold Based Median Filtering Technique for Salt and Pepper Noise Removal," 2ndInternational Conference on Digital Image Processing-(ICDIP-2010), 2010 Proceedings of SPIE, Vol.7546, PP754639-754639-10, SINGAPUR, 2010, DOI: 10.1117/12.856333. http://dx.doi.org/10.1117/12.856333.

      [16] Geeta Hanji, M.V.Latte, "Novel Adaptive Filter for Impulse Noise Suppression from Digital images", International Journal Of Bioinformatics & Biosciences (IJBB), Vol.4, No.3/4, December 2014.

      [17] Geeta Hanji, M.V.Latte, "A New Impulse Noise Detection and Filtering Algorithm," Image Processing & Communications (IPC), The Journal of University of Technology and Life Sciences in Bydgoszcz, Vol. 16, no.1-2, pp.43-48, DOI: 10.2478/v10248-012-0004-4. http://dx.doi.org/10.2478/v10248-012-0004-4.

      [18] Geeta Hanji, M.V.Latte, "Reliable Filters for Impulse Noise Suppression", and International Journal of Soft Computing and Engineering (IJSCE), Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd, ISSN: 2231-2307, Volume-4 Issue-6, January 2015.

      [19] A. Rajamani, V. Krishnaveni, "A New Denoising Approach for the Removal of Impulse Noise from Color Images and Video Sequences", Image Anal Stereol 2012;31:185-191 doi:10.5566/ias.v31.p185-19.1.

      [20] Awad AS, Man H.,"High Performance Detection filter for Impulse Noise Removal in Images," Electronic Letters, 2008; 3(44):192–4. http://dx.doi.org/10.1049/el:20083401.

      [21] Dong Y, Xu S., "A new Directional Weighted Median Filter for Removal of Random-Valued Impulse Noise", IEEE Signal Processing Letters, 2007; 14(3): 193–6. http://dx.doi.org/10.1109/LSP.2006.884014.

      [22] Jin L, Li D. "A switching Vector Median Filter based on the CIELAB Color Space for Color Image Restoration," Signal Processing, 2007; 87(6):1345–54. http://dx.doi.org/10.1016/j.sigpro.2006.11.008.

      [23] Trahanias P.E, Venetsanopoulos A.N., "Vector Directional Filters -A New class of Multichannel Image Processing Filters," IEEE Transactions on Image Processing, 1993; 2(4):528–34. http://dx.doi.org/10.1109/83.242362.

      [24] Karakos DG, Trahanias PE.,Generalized Multichannel Image-Filtering structures, IEEE Transactions On Image Processing, 1997;6(7): 1038–45 http://dx.doi.org/10.1109/83.597278.

      [25] Astola J, Haavisto P, Neuov Y, "Vector Median Filters," Proceedings of IEEE, 1990; 78(4):678–89. http://dx.doi.org/10.1109/5.54807.

      [26] Dang D, Luo W., "Color image noise removal algorithm utilizing hybrid vector filtering", International Journal of Electronic Communication, 2008;62(1):63–7. http://dx.doi.org/10.1016/j.aeue.2007.02.001.

      [27] M. Emre Celebi, Hassan A. Kingravi, Y. Alp Aslandogan, "Nonlinear Vector Filtering for Impulsive Noise Removal From Color Images", Journal of Electronic Imaging, 16(3): 033008, 2007. http://dx.doi.org/10.1117/1.2772639.

      [28] J. Astola, P. Haavisto, Y. Neuovo, "Vector Median Filters", IEEE Proceedings, Vol. 78, pp. 678-689, 1990 .

      [29] Borgan Smolka, Konstantionos Plataniotis, "Nonlinear Techniques for Color Image Processing ", Invited Chapter to appear in "Nonlinear Signal and Image Processing: Th9eory, Methods, and Applications", CRC Press.


 

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Article ID: 3979
 
DOI: 10.14419/jacst.v4i1.3979




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