Speedy filters for removing impulse noise based on an adaptive window observation

A speedy filter for removing impulse noise based on an adaptive window observation is presented. The proposed method not only reduces specific content of impulse noise but also produces a low computational complexity in several noise densities, which exploits the adaptive concept. In this research, we use an adaptive window. It is a combination of the post filtered pixel and the pixel that would be filtered. Based on the adaptive window observation, we can get the output filter. The numerical results of using peak signal-to-noise ratio and computational time prove that the proposed method is able to reduce impulse noise and to produce a low computational complexity. Furthermore, the proposed method is capable of overcoming the drawback of previous studies and provides a satisfactory result.