When sending images through channels,there are some corrupted images by salt and pepper noise, due to unknown communication. Impulse noise is also referring as salt and pepper noise. The noise free images are fully recovered with minimum signal distortion when objective of filtering is to remove the salt and pepper noise. The nonlinear digital filters are best to remove impulse noise. Adaptive Median filter identifies the noisy pixels and make them to arrange as original pixels without noisy pixels. It is also known as “switching” and “decision based system”. It detects the images at higher density also, but its takes more time to operate the process. Median filter algorithms are well defined for removal of salt and pepper noise in images without changing the preserved edges. At low and medium noise densities, the existing nonlinear filter like Standard Median Filter, Adaptive Median Filter, Decision Based Algorithm & Robust Estimation Algorithm shows better results and their performance is poor at high noise densities. By using modified sheer sorting method we can remove high-density salt and pepper noise. A new algorithm is Weighted Median Filter is proposed.
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