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Hash and Prediction-Error-Based Reversible Watermarking for Medical Images
Fluctuation and Noise Letters ( IF 1.8 ) Pub Date : 2021-08-27 , DOI: 10.1142/s0219477522500079
Nirmala Krishnamoorthi 1 , Vinoth Kumar Chinnababu 2
Affiliation  

In reversible watermarking (RW), the original cover image and the watermarked information are restored without any distortion. A secure RW technique using hybrid prediction and difference pair mapping along with the hashing algorithm is proposed in this paper. The four-stage imperceptible watermarking employed in this technique enlarges the payload capacity with low distortion in stego-image. The data authentication is used for protection of message integrity and validation of originator identification. Mean square error and peak signal-to-noise ratio are used for analyzing the robustness of the watermarked image. The simulation result shows that this method performs better than the other existing state-of-the-art methods.

中文翻译:

基于哈希和预测误差的医学图像可逆水印

在可逆水印(RW)中,原始封面图像和水印信息被还原而没有任何失真。本文提出了一种使用混合预测和差分对映射以及散列算法的安全RW技术。该技术中采用的四级无感知水印技术扩大了有效载荷容量,同时隐写图像失真小。数据认证用于保护消息完整性和验证发起者身份。均方误差和峰值信噪比用于分析水印图像的鲁棒性。仿真结果表明,该方法的性能优于其他现有的最先进的方法。
更新日期:2021-08-27
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