A new threshold-based median filtering technique for salt and pepper noise removal

Geeta Hanji; M. V. Latte

doi:10.1117/12.856333

26 February 2010 A new threshold-based median filtering technique for salt and pepper noise removal

Geeta Hanji, M. V. Latte

Proceedings Volume 7546, Second International Conference on Digital Image Processing; 754639 (2010) https://doi.org/10.1117/12.856333
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

Abstract

Removing Noise from the image is a challenging problem for the researchers. This paper proposes a two phase threshold based median filtering technique for salt and pepper impulse noise removal. It is implemented as a two pass algorithm: In the first pass corrupted pixels are perfectly detected using min-max strategy and an adaptive working window based on estimated noise density. Second phase is a threshold based filtering technique to correct the corrupted pixels by a valid median. Experimental results have shown that the proposed technique performs far more superior than many of the efficient median based filtering techniques reported in the literature in terms of Peak Signal (PSNR) and visual perception of the images corrupted by impulse noise even to the tune of seventy percent.

Citation Download Citation

Geeta Hanji and M. V. Latte "A new threshold-based median filtering technique for salt and pepper noise removal", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754639 (26 February 2010); https://doi.org/10.1117/12.856333

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