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Novel three stage range sensitive filter for denoising high density salt & pepper noise

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Abstract

This paper proposed a novel three stage algorithm to eliminate salt & pepper noise from the image. The three stages in the proposed algorithm are i) Pre-processing stage, ii) Main algorithm and iii) Post-processing stage. The proposed algorithm performs a number of basic standard operations (mean and median) governed by fuzzy logic. In pre-processing and Post-processing stages, low density noise is eliminated whereas, the main stage handles the high density noises and noisy pixels available on the boundary of image. Further, the proposed algorithm utilizes non-corner pixels to estimate denoinsed pixels value for corner pixels. Therefore, it effectively eliminates salt and pepper noise while efficiently preserving the edges. The performance of the proposed filter is analysed and compared over the existing filters using various benchmark images. The proposed algorithm on an averages improves the PSNR value by 2.1% and 7.73% at noise density ranges from 10% to 90% and 91% to 99%, respectively.

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References

  1. Chen F, Huang M, Ma Z, Li Y, Huang Q (2020) An iterative weighted-mean filter for removal of high-density salt-and-pepper noise. Symmetry 12 (12):1990

    Article  Google Scholar 

  2. Lin P-H, Chen B-H, Cheng F-C, Huang S-C (2016) A morphological mean filter for impulse noise removal. Journal of Display Technology 12 (4):344–350

    Google Scholar 

  3. Chithirala N, Natasha B, Rubini N, Radhakrishnan A (2016) Weighted mean filter for removal of high density salt and pepper noise. In: 2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS), vol 01, pp 1–4

  4. Erkan U, Thanh DN, Enginoğlu S, Memiş S (2020) Improved adaptive weighted mean filter for salt-and-pepper noise removal. In: 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). IEEE, pp 1–5

  5. Erkan U, Gökrem L, Enginoğlu S (2019) Adaptive right median filter for salt-and-pepper noise removal. International journal of engineering research and development 11(2):542–550

    Google Scholar 

  6. Irum I, Sharif M, Raza M, Mohsin S (2015) A nonlinear hybrid filter for salt & pepper noise removal from color images. Journal of applied research and technology 13(1):79–85

    Article  Google Scholar 

  7. Shinde B, Mhaske D, Dani A (2012) Study of noise detection and noise removal techniques in medical images. International Journal of Image, Graphics and Signal Processing 4(2):51

    Article  Google Scholar 

  8. Santhanam T, Chithra K (2014) A new decision based unsymmetric trimmed median filter using euclidean distance measure for removal of high density salt and pepper noise from images. In: International Conference on Information Communication and Embedded Systems (ICICES2014), pp 1–5

  9. Esakkirajan S, Veerakumar T, Subramanyam AN, PremChand C (2011) Removal of high density salt and pepper noise through modified decision based unsymmetric trimmed median filter. IEEE Signal processing letters 18 (5):287–290

    Article  Google Scholar 

  10. Roy A, Manam L, Laskar RH (2020) Removal of ‘salt & pepper’ noise from color images using adaptive fuzzy technique based on histogram estimation. Multimedia Tools and Applications 79(47):34851–34873

    Article  Google Scholar 

  11. Vijaykumar V, Mari GS, Ebenezer D (2014) Fast switching based median–mean filter for high density salt and pepper noise removal. AEU-International journal of electronics and communications 68(12):1145–1155

    Google Scholar 

  12. Veerakumar T, Esakkirajan S, Vennila I (2014) Recursive cubic spline interpolation filter approach for the removal of high density salt-and-pepper noise. Signal, Image and Video Processing 8(1):159–168

    Article  Google Scholar 

  13. Esakkirajan S, Veerakumar T, Subramanyam AN, PremChand CH (2011) Removal of high density salt and pepper noise through modified decision based unsymmetric trimmed median filter. IEEE Signal Processing Letters 18 (5):287–290

    Article  Google Scholar 

  14. Patel P, Majhi B, Jena B, Tripathy C (2012) Dynamic adaptive median filter (damf) for removal of high density impulse noise. International Journal of Image, Graphics and Signal Processing 4(11):53

    Article  Google Scholar 

  15. Faragallah OS, Ibrahem HM (2016) Adaptive switching weighted median filter framework for suppressing salt-and-pepper noise. AEU-International Journal of Electronics and Communications 70(8):1034–1040

    Google Scholar 

  16. Thanh DN, Hai NH, Prasath VS, Tavares JMR, et al. (2020) A two-stage filter for high density salt and pepper denoising. Multimedia tools and applications 79(29):21013–21035

    Article  Google Scholar 

  17. Wang X, Shen S, Shi G, Xu Y, Zhang P (2016) Iterative non-local means filter for salt and pepper noise removal. Journal of visual communication and image representation 38:440–450

    Article  Google Scholar 

  18. Vasanth K, Manjunath T, Raj SN (2015) A decision based unsymmetrical trimmed modified winsorized mean filter for the removal of high density salt and pepper noise in images and videos. Procedia Computer Science 54:595–604

    Article  Google Scholar 

  19. Garg B (2020) Restoration of highly salt-and-pepper-noise-corrupted images using novel adaptive trimmed median filter. Signal, Image and Video Processing 14:1–9, 11

    Article  Google Scholar 

  20. Garg B (2020) An adaptive minimum-maximum value-based weighted median filter for removing high density salt and pepper noise in medical images. International Journal of Ad Hoc and Ubiquitous Computing 35(2):84–95

    Article  Google Scholar 

  21. Garg B, Arya KV (2020) Four stage median-average filter for healing high density salt and pepper noise corrupted images. Multimedia Tools and Applications 79:11

    Google Scholar 

  22. Garg B, Rana PS, Rathor VS (2021) Significance driven inverse distance weighted filter to restore impulsive noise corrupted x-ray image. Journal of Ambient Intelligence and Humanized Computing, pp 1–12

  23. Sohi PJS, Sharma N, Garg B, Arya K (2020) Noise density range sensitive mean-median filter for impulse noise removal. In: Innovations in Computational Intelligence and Computer Vision. Springer, pp 150–162

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Authors and Affiliations

  1. ECED, Thapar Institute of Engineering, Technology Patiala-147001, Punjab, India

    Nishant Bindal & Bharat Garg

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  1. Nishant Bindal
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  2. Bharat Garg
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Correspondence to Bharat Garg.

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Bindal, N., Garg, B. Novel three stage range sensitive filter for denoising high density salt & pepper noise. Multimed Tools Appl 81, 21279–21294 (2022). https://doi.org/10.1007/s11042-022-12574-z

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  • DOI: https://doi.org/10.1007/s11042-022-12574-z

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