  Image posterization is converting images with a large number of tones into
synthetic images with distinct flat areas and a fewer number of tones. In this
technical report, we present the implementation and results of using fuzzy
logic in order to generate a posterized image in a simple and fast way. The
image filter is based on fuzzy logic and bilateral filtering; where, the given
image is blurred to remove small details. Then, the fuzzy logic is used to
classify each pixel into one of three specific categories in order to reduce
the number of colors. This filter was developed during building the Specs on
Face dataset in order to add a new level of difficulty to the original face
images in the dataset. This filter does not hurt the human detection
performance; however, it is considered a hindrance evading the face detection
process. This filter can be used generally for posterizing images, especially
those have a high contrast to get images with vivid colors.
