A NOVEL FUZZY SWITHING MEDIAN FILTER TO REMOVE SALT AND PEPPER NOISE

Abstract

Image processing consists of basic and important step of impulse noise removal. Impulse noise is frequently introduced into images while transmitting and acquiring them over an unsecure communication channel. TV or Satellite images may be corrupted by atmospheric disturbances. In other applications noise can be introduced by strong electromagnetic fields, transmission errors, etc. Human visual system is very sensitive to the high amplitude of noise signals, thus noise in an image can result in a subjective loss of information. Various techniques have been introduced for the removal of impulse noise based on the properties of their respective noise models. Performance of some recent filters is evaluated and compared to that of the proposed filter. This study introduces an iterative filter for images corrupted with salt and pepper noise, typically in the range of 10-50%. It is a novel technique for detecting salt and pepper noise while preserving the image details and textures. The application of Fuzzy Derivative approach with Powerful noise detection mechanism in detection phase provides optimal results. By extensive simulation results and comparisons with other filters, it is observed that the proposed algorithm outperforms several methods.