Automatic Segmentation and Descreening of Scanned Color Documents
In order to avoid these moiré patterns, it is necessary to detect the image areas of the document and remove the screen pattern present in those areas. In the past, we have presented techniques to perform these operations in the case of grayscale images. In this paper, we extend these techniques to handle color images. We present efficient and robust techniques to segment a color document into halftone image areas, detect the presence and frequency of screen patterns in halftone areas and suppress the detected screens. Halftoned image areas are segmented by using a measure of image activity; image activity is low in text areas and high in halftoned areas. We use 2D Fourier spectral analysis to identify the screen frequencies present. The screens are then suppressed by low-pass filtering.
Our technique speeds up the conversion process of books to digital form, and overcomes quality problems in the reproduction of halftoned images.
Document Type: Research Article
Publication date: 2000-01-01
For more than 30 years, IS&T's series of digital printing conferences have been the leading forum for discussion of advances and new directions in 2D and 3D printing technologies. A comprehensive, industry-wide conference that brings together industry and academia, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems?particularly those involved with additive manufacturing and fabrication?including bio-printing, printed electronics, page-wide, drop-on-demand, desktop and continuous ink jet, toner-based systems, and production digital printing, as well as the engineering capability, optimization, and science involved in these fields. In 2016, the conference changed its name formally to Printing for Fabrication to better reflect the content of the meeting and the evolving technology of printing.
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