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 |Pages: 12
DOI: 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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Analysis Of Sbwbams

SBWBAMS is a binary image watermarking algorithm for printed and scanned binary images based on the additive print-scanning model, binary image expansion and sampling process. Since the boundary error diffusion generated by printing and scanning is distributed in each thumbnail uniformly, the difference between the number of black pixels in each thumbnail and the average keeps the same before and after printing and scanning. SBWBAMS is based on the invariant to embed watermark information into binary images and it is robust to the printing and scanning process with a high embedding strength.

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