Analysis of Image Noise Removal Methodologies for High Density Impulse Noise?

Image noise removal is most important pre-processing step of image processing. Filtering method is emphasized for all types of de-noising schemes used for noise removal. In this paper, we have study about the different methods based on non-linear filter to remove the impulse noise from images. Different image noise removal algorithms are studied and some parameters are compared in a wide range of noise density to study the results of different filters. Mathematical analysis shows the quality of some de-noising algorithms and compares those methods. Complexity of some techniques are very less; because small number of calculations required removing the noise.