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28 December 2022 Watermarking method based on discrete wavelet transform
Bing He, Xinru Dai, Kuai Yu, Ye Ma, Yuanyuan Bai, Ying Wen
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Proceedings Volume 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022); 1250635 (2022) https://doi.org/10.1117/12.2661826
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2022), 2022, Beijing, China
Abstract
Improving the invisibility and robustness of watermarking, increasing the embedding capacity of watermarking and reducing the complexity of watermarking algorithms are becoming hot topics and difficulties in the research of watermarking algorithms nowadays. In this paper, we propose a digital watermarking technique based on discrete wavelet transform for the protection of author’s copyright. First, the watermark is pre-processed, specifically, then the Arnold transform is used for encryption to ensure the security of watermark. Then the wavelet coefficients are obtained by discrete wavelet transform of the original image. Finally, the watermark information is embedded into the wavelet coefficients of the image. The watermark embedding experiments indicate that the algorithm is reversible and the invisibility of watermark is excellent. The watermark extraction experiments demonstrate that our method has strong robustness to against various external attacks.
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Bing He, Xinru Dai, Kuai Yu, Ye Ma, Yuanyuan Bai, and Ying Wen "Watermarking method based on discrete wavelet transform", Proc. SPIE 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022), 1250635 (28 December 2022); https://doi.org/10.1117/12.2661826
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KEYWORDS
Digital watermarking
Discrete wavelet transforms
Wavelets
Digital filtering
Gaussian filters
Tunable filters
Wavelet transforms
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