Paper
22 May 2024 Reversible data hiding in binary images using built-in checkcode
Runzhao Guo
Author Affiliations +
Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 1317627 (2024) https://doi.org/10.1117/12.3029340
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China
Abstract
Data hiding has been widely investigated as a viable method for multimedia authentication, numerous data hiding method in images have been proposed during the past two decades. Reversible data hiding refers to data hiding applications where the host media can be partially or completely reconstructed. Although such method possesses advantageous characteristics in applications, its development is faced with numerous obstacles. Little effort has been made to develop method for reversible hiding information in binary images, the existing method either have unsatisfactory capacity or require additional information. It is challenging work that have significant potential. In this paper, we propose a novel high-capacity reversible data hiding in binary images. The recovery of original image is conducted with the aid of auxiliary data hidden. The experiments show the fidelity of host images after data hiding is very high, and data hiding capacity is as high as 0.5 per pixel, and recovery rate of original image is almost above 60%.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Runzhao Guo "Reversible data hiding in binary images using built-in checkcode", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 1317627 (22 May 2024); https://doi.org/10.1117/12.3029340
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KEYWORDS
Data hiding

Binary data

Image segmentation

Image restoration

Distortion

Picosecond phenomena

Image processing

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