Reversible Data Hiding in Encrypted Images Based on Chaotic Logistic Map and Median Edge Detector
Keywords:
Encrypted images, Huffman coding, Reversible data hiding, Secure compression, Encryption, Chaotic mapAbstract
The approach, called reversible data hiding in the encrypted image(RDH-EI), could be suitable for directly embedding more data in the encrypted domain without interfere on users' right to privacy. In this study, we present a completely new method for RDH-EI that uses the MED (Mean average Edge Detector) and the 2’s complement algorithm. The Mean average Edge Detector prediction technique is used to construct the predicted values for the original pixels and quantify the prediction errors. A label is placed in the pixels to indicate the two's complement so that space can be reserved. Creating a label map and embedding it into the image to record the unidentified pixels is necessary. After completing the symmetric encryption, the picture could be included in the data. This paper talks about a way to encrypt and decrypt images using key sequences that are made up of sequences of logistic mappings and sequences of the states of LFSR. The results of the tests indicate not only that the embedding payload has been improved but also that the data hiding can be reliably retrieved and that the cover image can be recovered in its entirety and in good condition. In addition, the test results show that the embedding payload has been improved. We evalauted the suggested method in terms of embedded rate (ER), the MSE (Mean Square Error ), and the entropy.
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