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This article is cited in 11 scientific papers (total in 11 papers)
IMAGE PROCESSING, PATTERN RECOGNITION
New secure QIM-based information hiding algorithms
V. A. Mitekinab, V. A. Fedoseevab a Samara National Research University, Samara, Russia
b Image Processing Systems Institute îf RAS – Branch of the FSRC “Crystallography and Photonics” RAS, Samara, Russia
Abstract:
The paper proposes two information hiding algorithms for multimedia based on Quantization Index Modulation (QIM): IM-QIM and SIM-QIM. They are designed to prevent a statistical attack which is able to restore a secret key using the correlation between key bits and multimedia data samples. To obtain the required security, we use a correlation immune embedding function, which guarantees statistical independence between the watermarked data and the key. The proposed algorithms are described for the case of spatial embedding in images but the algorithms can also be used to hide information in any multimedia data source in spatio-temporal and spectral domains. The results of the experimental investigation have confirmed that the algorithms developed provide the required security against a statistical attack and also have shown that the algorithms do not introduce additional distortions compared with the conventional QIM method. However, the experiments have also shown that the new algorithms are less robust against additive noise and JPEG compression.
Keywords:
QIM, DM-QIM, IM-QIM, quantization index modulation, dither modulation, digital watermark.
Received: 14.11.2017 Accepted: 20.12.2017
Citation:
V. A. Mitekin, V. A. Fedoseev, “New secure QIM-based information hiding algorithms”, Computer Optics, 42:1 (2018), 118–127
Linking options:
https://www.mathnet.ru/eng/co486 https://www.mathnet.ru/eng/co/v42/i1/p118
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Abstract page: | 299 | Full-text PDF : | 161 | References: | 26 |
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