Print-Resilient Binary Image Watermarking Based on Grayscale Conversion and DCT Transformation

Current binary image watermarking methods are mainly spatial domain methods, and most of them cannot resist printing and scanning. Based on this consideration, this paper introduces a new print-resilient watermarking method tailored for binary images. For data embedding, by dividing the cover binary image into disjoint blocks and counting the black pixels in each block, it is first converted into a form similar to a grayscale image. Then, by applying DCT to the transformed image, two DCT coefficients are selected and modified to embed the watermark. Next, after modification, the transformed image is converted back to the spatial domain to identify the number of pixels that need to be changed in each binary image block. Finally, for the cover binary image, edge detection is employed to select and modify its pixels (white to black, or black to white) without reducing the image quality, effectively realizing the watermark embedding. Experimental results show that the proposed method can well preserve the visual quality while resist the print-scan attack.

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Publication Details

Published
2024-10-19
DOI
https://doi.org/10.1109/iccsnt62291.2024.10776732
Citations
1
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
Field-Weighted Citation Impact
0.25

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article

Print-Resilient Binary Image Watermarking Based on Grayscale Conversion and DCT Transformation

Zichen Yuan, Xiaolong Li, Meiqin Liu
1 citations
Advanced Steganography and Watermarking Techniques
0.25
article

Print-Resilient Binary Image Watermarking Based on Grayscale Conversion and DCT Transformation

Zichen Yuan, Xiaolong Li, Meiqin Liu
article en
1 citations

Abstract

Current binary image watermarking methods are mainly spatial domain methods, and most of them cannot resist printing and scanning. Based on this consideration, this paper introduces a new print-resilient watermarking method tailored for binary images. For data embedding, by dividing the cover binary image into disjoint blocks and counting the black pixels in each block, it is first converted into a form similar to a grayscale image. Then, by applying DCT to the transformed image, two DCT coefficients are selected and modified to embed the watermark. Next, after modification, the transformed image is converted back to the spatial domain to identify the number of pixels that need to be changed in each binary image block. Finally, for the cover binary image, edge detection is employed to select and modify its pixels (white to black, or black to white) without reducing the image quality, effectively realizing the watermark embedding. Experimental results show that the proposed method can well preserve the visual quality while resist the print-scan attack.

Beijing Jiaotong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 44%
Advanced Steganography and Watermarking Techniques
0.25
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Print-Resilient Binary Image Watermarking Based on Grayscale Conversion and DCT Transformation — Zichen Yuan, Xiaolong Li, et al. · (2024) | TGRS Research Map | TGRS