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Modified decision based two-phase unsymmetrical trimmed/winsorized mean filter for removal of very high density salt and pepper noise from images and videos

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Abstract

In this paper, a novel two-phase modified decision based unsymmetrical trimmed mean filter, for removal of very high density salt and pepper noise (SPN) from images and videos is proposed. The first phase comprises the use of an unsymmetrical trimmed mean filter when the processing window is fully noisy and contains both outliers (0 and 255). The second phase is applied to eradicate the residual noisy pixels by replacing the processing pixel conditionally either with mean or with unsymmetrical trimmed mean. A second version of the algorithm is also devised by just replacing the unsymmetrical trimmed mean with unsymmetrical Winsorized mean in the second phase. The efficacy of different algorithms are evaluated, upto 99% density of SPN against standard Grey scale images, color images and video databases, in terms of Peak Signal to Noise Ratio (PSNR), Image Enhancement Factor (IEF) and Structural Similarity Index (SSIM). It has been observed that the proposed algorithms exhibit excellent noise suppression capabilities by giving high value of PSNR, IEF and SSIM. The edge preserving capability of the proposed algorithms is evaluated by Pratt’s Figure of Merit (PFOM), quantitatively and qualitatively it has been proved that edge preservation capability of the proposed algorithms is best among the state-of-art-algorithms.

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References

  1. Abdou IE, Pratt WK (1979) . Proc IEEE 67(5):753

    Article  Google Scholar 

  2. Aiswarya K, Jayaraj V, Ebenezer D (2010) .. In: IEEE Second International Conference on Computer Modeling and Simulation, vol 4, pp 409–413

  3. Astola J, Kuosmanen P (1997) Fundamentals of nonlinear digital filtering, vol 8 (CRC press)

  4. Bovik A (1987) . IEEE Transactions on Acoustics, Speech, and Signal Processing 35(4):493

    Article  Google Scholar 

  5. Bovik AC (2005) Handbook of image and video processing (communications, networking and multimedia) (academic press inc.

  6. Camarena JG, Gregori V, Morillas S, Sapena A (2008) . J Vis Commun Image Represent 19(1):20

    Article  Google Scholar 

  7. Camarena JG, Gregori V, Morillas S, Sapena A (2010) . Image Vis Comput 28(1):188

    Article  Google Scholar 

  8. Christo MS, Vasanth K, Varatharajan R (2020) . Multimedia Tools and Applications 79(1):415

    Article  Google Scholar 

  9. Dash S, Das S, Panigrahi B (2017) International Conference on Intelligent Computing and Applications. ICICA. Advances in Intelligent Systems and Computing (Springer Singapore)

  10. Esakkirajan S, Veerakumar T, Subramanyam AN, PremChand C (2011) . IEEE Signal Process Lett 18(5):287

    Article  Google Scholar 

  11. Goel N, Aggarwal P (2019) Iranian journal of science and technology. Transactions of Electrical Engineering 43(3):459

    Google Scholar 

  12. Goel N, Kaur H, Saxena J (2020) Multimedia tools and applications (2020)

  13. Hwang H, Haddad RA (1995) . IEEE Trans Image Process 4 (4):499

    Article  Google Scholar 

  14. Jayaraj V, Ebenezer D (2010) . EURASIP Journal on Advances in Signal Processing 2010(1):690218

    Article  Google Scholar 

  15. MATLAB (2020) version 9.8.0.1396136 (R2020a) (The MathWorks Inc., Natick Massachusetts)

  16. Pratt WK (1978) Digital image processing. Wiley-Interscience, New York

    MATH  Google Scholar 

  17. Raza MT, Sawant S (2012) .. In: Nirma University International Conference on Engineering (NUiCONE) (IEEE, 2012), pp 1–5

  18. Samantaray AK, Mallick P (2015) . Procedia Computer Science 48:222

    Article  Google Scholar 

  19. Srinivasan K, Ebenezer D (2007) . IEEE Signal Processing Letters 14(3):189

    Article  Google Scholar 

  20. Toh KKV, Isa NAM (2010) . IEEE Trans Consum Electron 56 (4):2560

    Article  Google Scholar 

  21. (1977) The USC-SIPI Image Database. http://sipi.usc.edu/database/

  22. Varatharajan R et al (2020) Computer Communications 2020

  23. Vasanth K, Manjunath T, Raj SN (2015) . Procedia Computer Science 54:595

    Article  Google Scholar 

  24. Veerakumar T, Esakkirajan S, Vennila I (2012) . Int J Comput Appl 39(12):29

    Google Scholar 

  25. Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) . IEEE Trans Image Process 13(4):600

    Article  Google Scholar 

Download references

Acknowledgements

The author would like to thank Mr. Ankur Bansal, Northeastern University, Bostan, USA for providing the MATLAB software support. The author would also like to thank the editor and the anonymous referees for their valuable comments and suggestions that improved the clarity and quality of this manuscript.

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  1. Electronics and Communication Engineering Section, Yadavindra Department of Engineering, Punjabi University Guru Kashi Campus, Talwandi Sabo, 151302, Punjab, India

    Navdeep Goel

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  1. Navdeep Goel
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Correspondence to Navdeep Goel.

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Goel, N. Modified decision based two-phase unsymmetrical trimmed/winsorized mean filter for removal of very high density salt and pepper noise from images and videos. Multimed Tools Appl 81, 32953–32979 (2022). https://doi.org/10.1007/s11042-022-12876-2

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  • DOI: https://doi.org/10.1007/s11042-022-12876-2

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