  This report describes the experimental analysis of a proposed switching
filter-anisotropic diffusion hybrid for the filtering of the fixed value (salt
and pepper) impulse noise (FVIN). The filter works well at both low and high
noise densities though it was specifically designed for high noise density
levels. The filter combines the switching mechanism of decision-based filters
and the partial differential equation-based formulation to yield a powerful
system capable of recovering the image signals at very high noise levels.
Experimental results indicate that the filter surpasses other filters,
especially at very high noise levels. Additionally, its adaptive nature ensures
that the performance is guided by the metrics obtained from the noisy input
image. The filter algorithm is of both global and local nature, where the
former is chosen to reduce computation time and complexity, while the latter is
used for best results.
