Abstract
A decision based asymmetrically trimmed Winsorized median for the removal of salt and pepper noise in images and videos is proposed. The proposed filter initially classifies the pixels as noisy and non noisy and later replaces the noisy pixels with asymmetrically trimmed modified winsorized median leaving the non noisy pixels unaltered. Exhaustive experiments were conducted on standard image database and the performance of the proposed filter was evaluated in terms of both quantitative and qualitatively with existing algorithm. It was found that the proposed algorithm was found to exhibit excellent noise suppression capabilities by preserving the fine information of the image even at higher noise densities. The performance of the proposed filter was found good even for videos.
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References
Abdou IA, Pratt W (1979) Quantitative design and evaluation of enhancement/thresholding edge detectors. Proc IEEE 67(5):753–766
Aiswarya K, Jayaraj V, Ebenezer D (2010) A new and efficient algorithm for the removal of high density salt & pepper noise in images & videos. Proceedings in International conference on computer modelling and simulation, p 409–413
Astola J, Kusmanen P (1997) Fundamentals of non linear digital filtering. CRC press, Boca Raton
Bai T, Tan J, Hu M, Wang Y (2014) A novel algorithm for removal of salt and pepper noise using continued fractions interpolation. Signal Process 102:247–255
Balasubramanian S, Kalishwaran S, Muthuraj R, Ebenezer D, Jayaraj V (2009) An efficient Non linear cascade filtering algorithm for removal of high density salt and pepper noise in image and video sequence, Proceedings in International Conference on control, Automation, communication and Energy Conservation, p 1–6
Brownrigg DRK (1984) The weighted median filter. Commun ACM 27(8):807–818
Chan RH, Ho C-W, Nikolova M (2009) Salt and pepper noise removal by median – type noise detectors and detail preserving regularization. IEEE transactions on image processing;14–10, 1479–1485
Esakkirajan S, Veerakumar T, Subramanyam AN, Prem Chand CH (2011) Removal of high density salt and pepper noise through modified decision based unsymmetrical trimmed median filter. IEEE Signal Processing Letters 18(5):287–290
Hamza A, Krim H (2001) Image denoising: a non linear robust statistical approach. IEEE Trans Signal Process 49(12):304–305
Hwang H, Haddad RA (1995) Adaptive median filters: new algorithms and results. IEEE Transaction on Image processing 4:499–502
Ko SJ, Lee YH (1991) Center weighted median filters and their application to image enhancement. IEEE Transactions on Circuits Systems 38(9):984–993
Nair MS, Revathy K, Tatavarti R (2008) An improved decision based algorithm for impulse noise removal. Proceedings in Congress on Image and Signal Processing, Pages, p 426–431
Pitas I, Venetasanopoulos AN (1990) Non linear digital filters: principles and applications. Kluwer, Boston
Srinivasan And KS, Ebenezer D (2007) A new fast and efficient decision-based algorithm for removal of high-density impulse noises. IEEE Signal Processing letters 14(3):189–192
Syamala Jayasree P, Raj P, Kumar P, Siddavatam R, Ghrera SP (2012) A fast novel algorithm for salt and pepper image noise cancellation using cardinal B-splines. International Journal of Signal Image and Video Processing, Springer. https://doi.org/10.1007/s11760-012-0368-3
Tena J, Vasanth K, Indhumathi G (2014) An enhanced decision based algorithm for the reduction of high density salt and pepper noise with reduced streaks. Proceedings in International Conference on Electronics and Communication Systems (ICECS -2014), Feb. 13–14
Vasanth K, Kumar VJS, Rajesh R, Anita (2013) Cascaded decision based non linear filters for high density salt and pepper noise in images and videos. Proceedings in International conference on circuits, power and Computing technologies ICCPCT, p 855–860
Vasanth K, Tena J, Elanangai V, Amuthan (2014) Cascaded algorithm for the removal of impulse noise variants and artifacts in images, International journal of applied engineering research. 9(19):5779–5796
Vasanth K, Manjunath TG, 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. International Conference on Image and Signal Processing, ICISP 2015, Procedia in Computer Science, vol 54, p 595–604
Vasanth K, Kumar K, Saravanan S (2015) Decision based unsymmetrical trimmed mode filter for the removal of salt and pepper noise in images. Proceedings on International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), p 1–7
Veerakumar T, Esakkirajan S, Vennila I (2012) An approach to minimize very high density salt and pepper noise through trimmed global mean. Int J Comput Appl 39(12)
Wang Z, Zhang D (1999) Progressive switching median filter for removal of impulse noise from highly corrupted images. IEEE Transactions on Circuits Systems-II (46):78–80
Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error measurement to structural similarity. IEEE Trans Image Process 13(4):102–109
Zhang P, Li F (2014) A new adaptive weighted mean filter for removing salt-and-pepper noise. IEEE Signal Processing Letters 21(10):1280–1283
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Christo, M.S., Vasanth, K. & Varatharajan, R. A decision based asymmetrically trimmed modified winsorized median filter for the removal of salt and pepper noise in images and videos. Multimed Tools Appl 79, 415–432 (2020). https://doi.org/10.1007/s11042-019-08124-9
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DOI: https://doi.org/10.1007/s11042-019-08124-9