Abstract
Aiming at the requirements of watermarking technology for medical images, a medical CT image watermarking algorithm based on compressed sensing and multiple transform domains is proposed to make the watermarking highly invisible. Compressing and preprocessing the watermark image can not only play the role of watermark encryption, but also reduce the amount of embedded watermark information. Perform discrete wavelet transform, discrete cosine transform on the perceptual watermark image and the original image, and then use singular value decomposition to perform watermark embedding. Finally, use SURF, Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) for watermark extraction. Simulation results show that the algorithm has high concealment for medical CT images, and it is robust to common image attack methods.
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Acknowledgments
This work is supported by Hainan Provincial Natural Science Foundation of China [No. 2019RC018], the Natural Science Foundation of Hainan [617048, 2018CXTD333], the Science and Technology Research Project of Chongqing Education Commission [KJQN201800442], and the Special Scientific Research Project of Philosophy and Social Sciences of Chongqing Medical University [201703].
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Nawaz, S.A., Li, J., Bhatti, U.A., Shoukat, M.U., Mehmood, A. (2020). Advance Watermarking Algorithm Using SURF with DWT and DCT for CT Images. In: Chen, YW., Tanaka, S., Howlett, R., Jain, L. (eds) Innovation in Medicine and Healthcare. Smart Innovation, Systems and Technologies, vol 192. Springer, Singapore. https://doi.org/10.1007/978-981-15-5852-8_5
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DOI: https://doi.org/10.1007/978-981-15-5852-8_5
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