A Reversible Data-Hiding Method with Prediction-Error Expansion in Compressible Encrypted Images
This paper proposes a novel reversible data-hiding method in encrypted images to achieve both a high hiding capacity and good compression performance. The proposed method can also decrypt marked encrypted images without data extraction, so marked images containing a payload can be derived from marke...
Main Authors: | Ryota Motomura, Shoko Imaizumi, Hitoshi Kiya |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-09-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/19/9418 |
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