Hash and Prediction-Error-Based Reversible Watermarking for Medical Images
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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.
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2020 ◽
Vol 34
(07)
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pp. 10607-10614
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1995 ◽
Vol 85
(1)
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pp. 308-319
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