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New Performance Evaluation Method for Data Embedding Techniques for Printed Images Using Mobile Devices Based on a GAN

Masahiro YASUDA, Soh YOSHIDA, Mitsuji MUNEYASU

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Summary :

Methods that embed data into printed images and retrieve data from printed images captured using the camera of a mobile device have been proposed. Evaluating these methods requires printing and capturing actual embedded images, which is burdensome. In this paper, we propose a method for reducing the workload for evaluating the performance of data embedding algorithms by simulating the degradation caused by printing and capturing images using generative adversarial networks. The proposed method can represent various captured conditions. Experimental results demonstrate that the proposed method achieves the same accuracy as detecting embedded data under actual conditions.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E106-A No.3 pp.481-485
Publication Date
2023/03/01
Publicized
2022/08/23
Online ISSN
1745-1337
DOI
10.1587/transfun.2022SML0003
Type of Manuscript
Special Section LETTER (Special Section on Smart Multimedia & Communication Systems)
Category

Authors

Masahiro YASUDA
  Kansai University
Soh YOSHIDA
  Kansai University
Mitsuji MUNEYASU
  Kansai University

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