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Improving Scanned Binary Image Watermarking Based On Additive Model and Sampling

Improving Scanned Binary Image Watermarking Based On Additive Model and Sampling

Ping Wang, Xiangyang Luo, Chunfang Yang, Fenlin Liu
Copyright: © 2016 |Volume: 8 |Issue: 2 |Pages: 12
ISSN: 1941-6210|EISSN: 1941-6229|EISBN13: 9781466690257|DOI: 10.4018/IJDCF.2016040104
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MLA

Wang, Ping, et al. "Improving Scanned Binary Image Watermarking Based On Additive Model and Sampling." IJDCF vol.8, no.2 2016: pp.36-47. http://doi.org/10.4018/IJDCF.2016040104

APA

Wang, P., Luo, X., Yang, C., & Liu, F. (2016). Improving Scanned Binary Image Watermarking Based On Additive Model and Sampling. International Journal of Digital Crime and Forensics (IJDCF), 8(2), 36-47. http://doi.org/10.4018/IJDCF.2016040104

Chicago

Wang, Ping, et al. "Improving Scanned Binary Image Watermarking Based On Additive Model and Sampling," International Journal of Digital Crime and Forensics (IJDCF) 8, no.2: 36-47. http://doi.org/10.4018/IJDCF.2016040104

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Abstract

The SBWBAMS (Scanned Binary Image Watermarking Based on Additive Model and Sampling) algorithm proposed by Hou et al. owns strong robustness to the process of printing and scanning process. However, because the embedding strength used in the algorithm is set artificially, watermark information may not be correctly embedded into binary image when the embedding strength is low. Firstly, the minimum embedding strength to embed watermark correctly is analyzed in this paper, and then an improved binary image watermarking algorithm based on adaptive embedding strength is proposed. The proposed algorithm adjusts embedding strength adaptively according to image content, ensuring that the embedded watermark information is correct. The experimental results show that the proposed algorithm can not only embed and extract the watermark information correctly, but also still own strong robustness to the process of printing and scanning process.

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