Paper Info
Title
Image Posterization Using Fuzzy Logic and Bilateral Filter.
Abstract
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.
Year
Venue
Field
2018
arXiv: Computer Vision and Pattern Recognition
Pattern recognition,Computer science,Fuzzy logic,Composite image filter,Artificial intelligence,Pixel,Face detection,Posterization,Bilateral filter
DocType
Volume
Citations 
Journal
abs/1802.01009
0
PageRank 
References 
Authors
0.34
2
1
Name
Order
Citations
PageRank
Mahmoud Afifi13510.85