A new threshold-based median filtering technique for salt and pepper noise removal
Geeta Hanji, Mrityunjaya V. Latte · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
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.