Abstract
In this paper, we propose a watermark sharing scheme to binary halftone images, which is extended from an image halftoning scheme using genetic algorithms. In addition to conventional evaluation functions on gray-level precision and appropriate contrast near edges, we design and introduce an evaluation function on watermark appearance to the scheme, and generate multiple binary halftone images shared a watermark image through solution search by GA. Also, we improve the resolution of the watermark image to the same size of generated images, which contributes to increase the appearance of watermark image remarkably. Simulation results show that we can share a watermark to generated halftone images keeping high image quality, but clearly decode the embedded watermark by overlapping those images optically.
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Myodo, E., Tanaka, K. (2004). A Watermark Sharing Scheme to High Quality Halftone Images with Genetic Algorithms. In: Raidl, G.R., et al. Applications of Evolutionary Computing. EvoWorkshops 2004. Lecture Notes in Computer Science, vol 3005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24653-4_35
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DOI: https://doi.org/10.1007/978-3-540-24653-4_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21378-9
Online ISBN: 978-3-540-24653-4
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