An efficient algorithm for periodic halftone identification
Journal
2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015
ISBN
9781479970797
Date Issued
2015-07-28
Author(s)
Abstract
When periodic halftoned documents (e.g., books, newspapers, and magazines) are scanned for image reproduction, moiré patterns occur. In order to avoid these moiré artifacts, it is necessary to detect the periodic halftone. This paper provides a fast Fourier transform based method to classify periodic halftoned documents. Experimental results show that the overall accuracy of this method is 97% on a large data set which contains many difficult-to-classify images. Misclassified documents tend to be extremely difficult to classify, in that they contain very small periodic halftone regions. An existing method, by comparison, has accuracy of only 70%.
Subjects
fast Fourier transform | moiré patterns | Periodic halftone noise
Type
conference paper