Paper
21 December 2000 Extracting halftones from scanned color documents and converting them into continuous form
Jiyun Byun, Youngmee Han, Minhwan Kim
Author Affiliations +
Proceedings Volume 4307, Document Recognition and Retrieval VIII; (2000) https://doi.org/10.1117/12.410831
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
Abstract
The purpose of this paper is to propose a procedure that automatically extracts color halftones from a document image and then converts them into continuous-tone images. An extraction method of color halftones is proposed, which is based on analysis of the Fourier spectrum of the color halftones. The characteristics of color halftone patterns in the Fourier spectrum are used to determine halftone regions in the document image. Particularly, this method is designed not to extract the background-halftone region that consists of text and simple halftones. This method is also applicable to extract arbitrarily shaped halftone regions. The extracted halftone regions are then converted into continuous-tone images by using the color inverse halftoning that is proposed in our previous work. A new color-channel separation method for the color inverse halftoning is proposed in this paper. Additionally, an enhancing method for inverse halftoned images is also presented in order to reduce various distortions in printing or scanning process. The proposed methods can be effectively used in the field of digital library, World Wide Web (WWW), and content-based image retrieval.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiyun Byun, Youngmee Han, and Minhwan Kim "Extracting halftones from scanned color documents and converting them into continuous form", Proc. SPIE 4307, Document Recognition and Retrieval VIII, (21 December 2000); https://doi.org/10.1117/12.410831
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KEYWORDS
Halftones

Image enhancement

RGB color model

Image segmentation

Content based image retrieval

Digital libraries

Image processing

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