  Many filters are proposed for impulse noise removal. However, they are hard
to keep excellent denoising performance with high computational efficiency. In
response to this difficulty, this paper presents a novel fast filter, adaptive
minimum-maximum exclusive mean (AMMEM) filter to remove impulse noise. Although
the AMMEM filter is a variety of the maximum-minimum exclusive mean (MMEM)
filter, however, the AMMEM filter inherits the advantages, and overcomes the
drawbacks, compared with the MMEM filter. To increase the various performances
of noise removal, the AMMEM filter uses an adaptive size window, introduces two
flexible factors, projection factor P and detection factor T, and limits the
calculation scope of the AVG. The experimental results show the AMMEM filter
makes a significant improvement in terms of noise detection, image restoration,
and computational efficiency. Even at noise level as high as 95%, the AMMEM
filter still can restore the images with good visual effect.
