Abstract
In the current medical system, the privacy and security of the medical information with respect to its transmission and storage is a key challenge. In pursuit of this, we proposed a contourlet transform and Discrete Cosine Transform (DCT) based multiple robust watermarking algorithms for medical imaging. The proposed scheme uses contourlet transform to extract multidirectional and multiscale texture information, and then the DCT was used to acquire the feature vector in the low frequency directional subbands. Then we used Logistic Map to encrypt the watermark to ensure the security of the original watermarking information under a chaotic system. In watermark embedding and extraction phases, we adopted zero-watermarking technique to ensure the integrity of the medical images. Our experimental results show that the proposed algorithm can embed much more data with less complexity and dose not change the pixel value of the original image. Moreover, the proposed algorithm can extract the watermark effectively with good invisibility and robustness to common and geometric attacks.
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Acknowledgements
This work is supported by the Key Research Project of Hainan Province [ZDYF2018129], and by the National Natural Science Foundation of China [61762033] and the Natural Science Foundation of Hainan [617048, 2018CXTD333].
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Wu, X., Li, J., Tu, R. et al. Contourlet-DCT based multiple robust watermarkings for medical images. Multimed Tools Appl 78, 8463–8480 (2019). https://doi.org/10.1007/s11042-018-6877-5
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DOI: https://doi.org/10.1007/s11042-018-6877-5