Advancement Through Research
Removing impulse noise is a very active research area in image processing. In this paper, we present a filter for the removal of random impulse noise in color videos, in which each of the color components is filtered separately based on fuzzy rules, in which information from the other color bands is integrated. To preserve the details as much as possible, the noise is removed by three successive filtering steps. Only pixels that have been detected to be noisy are filtered. This filtering is done by block matching. Fuzzy logic represents a good mathematical framework to deal with uncertainty of information.The filtering can also be applied to color videos corrupted with other types of noise. The experiments show that the proposed method outperforms other state-of-the-art filters both visually and in terms of objective quality measures such as the mean absolute error (MAE), the peak-signal-to-noise ratio (PSNR) and the normalized color difference (NCD).
Fuzzy logic (FL); Peak-signal-to-noise-ratio (PSNR); normalized color difference (NCD); mean absolute error (MAE).
