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Inverse halftoning using super-resolution image processing

Authors

  • Yuki Minami,

    Non-member, Corresponding author
    1. Department of Control Engineering, Maizuru National College of Technology, 234 Shiroya, Maizuru 625-8511, Japan
    • Department of Control Engineering, Maizuru National College of Technology, 234 Shiroya, Maizuru 625-8511, Japan
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  • Shun-ichi Azuma,

    Non-member
    1. Graduate School of Informatics, Kyoto University, Gokasho, Uji 611-0011, Japan
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  • Toshiharu Sugie

    Non-member
    1. Graduate School of Informatics, Kyoto University, Gokasho, Uji 611-0011, Japan
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Abstract

This paper focuses on the inverse halftoning problem, that is, the problem of reconstructing continuous-tone images from halftone images of white and black pixels. In general, the problem does not have a unique solution, since halftoning is a many-to-one map from continuous-tone images to binary ones. To this problem, we provide a simple and useful inverse halftoning method, composed of two steps. The first step is to generate several grayscale images from the original halftone image and low-pass filters. The next step is to reconstruct a continuous-tone image from the multiple grayscale images by using super-resolution image processing. This method allows us to obtain good continuous-tone images which are comparable to the results of the existing methods. The validity of the proposed method is demonstrated by several experiments. © 2011 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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