A novel algorithm for removal of salt and pepper noise using continued fractions interpolation

We propose a novel continued fractions interpolation filter (CFIF) to remove salt and pepper noise. The proposed algorithm replaces median filter with continued fractions interpolation filter. First, noise free pixels are left unchanged, then, the weighted mean of four-direction continued fractions interpolation is computed to estimate the corrupted pixel value. Our method requires neither a window nor any prior knowledge. The proposed method also preserves edges very well while removing impulse noise. Simulation results indicate that the CFIF outperforms other filters existing in the literature.