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Volume 44 Issue 12
Dec.  2022
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ZHANG Minqing, WANG Zexi, KE Yan, KONG Yongjun, DI Fuqiang. Reversible Data Hiding in Encrypted Images Based on Polynomial Secret Sharing[J]. Journal of Electronics & Information Technology, 2022, 44(12): 4337-4347. doi: 10.11999/JEIT211054
Citation: ZHANG Minqing, WANG Zexi, KE Yan, KONG Yongjun, DI Fuqiang. Reversible Data Hiding in Encrypted Images Based on Polynomial Secret Sharing[J]. Journal of Electronics & Information Technology, 2022, 44(12): 4337-4347. doi: 10.11999/JEIT211054

Reversible Data Hiding in Encrypted Images Based on Polynomial Secret Sharing

doi: 10.11999/JEIT211054
Funds:  The National Natural Science Foundation of China (61872384, 62102450, 62102451)
  • Received Date: 2021-09-29
  • Accepted Date: 2022-05-05
  • Rev Recd Date: 2022-04-18
  • Available Online: 2022-05-08
  • Publish Date: 2022-12-16
  • In order to solve the problems of low embedding rate of reversible data hiding in encrypted domain with multi-users and weak disaster tolerance of cover image, a reversible data hiding in encrypted images based on polynomial secret sharing scheme is proposed. The cover image is divided into multiple shadow images and stored to multiple users, so that the image disaster tolerance can be enhanced. Separability is achieved by combining two embedding algorithms, where Algorithm 1 embeds additional data into the redundancy coefficients of the polynomial during the process of image sharing to generate shadow images containing additional data, which can extract data after image reconstruction; Algorithm 2, for any shadow image, embeds additional data by using the additive homomorphism of secret sharing, which supports extracting additional data directly from the shadow image. Experiments are performed in different threshold and shadow image compression rates. When the compression rate is 50%, the embedding rate reaches 4.18 bit per pixel (bpp) for the (3, 4) threshold scheme and 3.78 bpp for the (3, 5) threshold scheme. The results show that the algorithms support extracting additional data from the shadow images and the reconstructed images respectively, which achieves the separability of the scheme. The proposed scheme has a higher embedding rate and lower computational complexity than the existing schemes, and is more practical.
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