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Robust Cartoon Zero-Watermark Algorithm Based on NSST

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Advances in Computer Science and Ubiquitous Computing (CUTE 2017, CSA 2017)

Abstract

To better extract the edge feature of the cartoon image, a zero-watermark algorithm based on non-subsampled shearlet transform is purposed. In this method, NSST can extract the edge contour feature of cartoon image well by extracting low-frequency part of the image, and the image features can be better extracted by combining normalization, DCT and non-negative matrix factorization (NMF). For the watermark image, the spread spectrum based on complete complementary codes and chaotic scrambling is used to improve the robustness and security. Finally, the zero-watermark is derived by making the feature information of the cartoon image XOR with the watermark information. The experimental results show that the method is strong robustness against noise, geometric transformation, JPEG compression.

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Acknowledgments

1. This research project was supported by the Education Department of Jilin Province (“Thirteen Five” Scientific Planning Project, Grant No. 249 [2016]).

2. This research project was supported by the National Natural Science Foundation of China (Grant No. 61262090).

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Correspondence to De Li .

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Sun, Y., Li, D. (2018). Robust Cartoon Zero-Watermark Algorithm Based on NSST. In: Park, J., Loia, V., Yi, G., Sung, Y. (eds) Advances in Computer Science and Ubiquitous Computing. CUTE CSA 2017 2017. Lecture Notes in Electrical Engineering, vol 474. Springer, Singapore. https://doi.org/10.1007/978-981-10-7605-3_9

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  • DOI: https://doi.org/10.1007/978-981-10-7605-3_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7604-6

  • Online ISBN: 978-981-10-7605-3

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