High-capacity reversible data hiding in encrypted images based on extended run-length coding and block-based MSB plane rearrangement

Chen, Kaimeng; Chang, Chin‐Chen

doi:10.1016/j.jvcir.2018.12.023

Cited by 112 publications

(125 citation statements)

References 27 publications

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“…In [45], Yi and Zhou proposes a separable RDH-EI method by using parametric binary tree labeling, which is improved in [46]. Chen and Chang [47] compresses the MSB planes of images to vacate room before image encryption, which can achieve high-capacity data embedding in image encryption domain. In [48], Yin et al proposes a high capacity RDH-EI algorithm based on multi-MSB prediction and Huffman coding.…”

Section: Introductionmentioning

confidence: 99%

Reversible Data Hiding in Encrypted Images With Dual Data Embedding

et al. 2020

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Typical reversible data hiding in encrypted image (RDH-EI) methods merely embed data in the encrypted domain, ignoring the requirement of the image owner for data embedding. To address this issue, this paper proposes a novel RDH-EI method with dual data embedding based on generalized integer transformation (GIT). The image owner first vacates embedding room, and performs data embedding before image encryption. After data encryption, the remote server utilizes the vacated room to further embed additional data into the encrypted image. The embedded data by the image owner and remote server can be extracted exactly, and the original image can be recovered losslessly. The experimental results prove the effectiveness of the proposed method. INDEX TERMS Reversible data hiding, encrypted image, generalized integer transformation, dual data embedding.

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Section: Introductionmentioning

confidence: 99%

Reversible Data Hiding in Encrypted Images With Dual Data Embedding

et al. 2020

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“…Here p ij denotes the pixel value of the original image, and p ij denotes the shadow's pixel value at position (i, j). Without a loss of generality, we believe that the difference between the cover image and shares is invisible to the naked eye when the PSNR value exceeds 30 dB, and we conclude that the visual quality of shadows reaches an ideal level [32].…”

Section: Visual Qualitymentioning

confidence: 77%

Using Two Meaningful Shadows to Share Secret Messages with Reversibility

Lin

Chang

2019

Symmetry

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A subtopic of visual secret sharing (VSS) is information hiding-based VSS (IH-VSS), which embeds secret messages into images using an information hiding technique. In the IH-VSS scheme, stego-images are divided into shadows under the guidance and constraint of some predetermined approaches. In order to achieve the purpose of security and reliability, the hidden information cannot be recovered unless a certain amount or all of the credible shadows work together. In this paper, we propose a (2, 2) IH-VSS scheme with reversibility and friendliness. In the shadow generation phase, two meaningful shadow images are produced and then distributed. In the extraction and restoration phase, the hidden secret information and cover image, respectively, can be reconstructed credibly and correctly. No complex computation of shadow generation is involved, but high security is achieved. Moreover, a satisfying peak-signal-to-noise ratio (PSNR) is obtained with the high embedding capacity of 1.59 bpp in a very simple and effective way.

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“…In this subsection, we compare the maximal embedding rate of the proposed IPBTL-RDHEI method with several state-ofthe-art methods, the parameters α and β in IPBTL-RDHEI are set to 5 and 2. In order to achieve a better performance, we set the length of fixed-length codewords to 3 and block size to 4 × 4 in [21]. In [18] the block size is set to 3 × 3, α and β are also set to 5 and 2.…”

Section: B Comparisons With Related Methods and Analysismentioning

confidence: 99%

An Improved Reversible Data Hiding in Encrypted Images Using Parametric Binary Tree Labeling

Xiang

Yu-tang

et al. 2020

IEEE Trans. Multimedia

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This work proposes an improved reversible data hiding scheme in encrypted images using parametric binary tree labeling(IPBTL-RDHEI), which takes advantage of the spatial correlation in the entire original image not in small image blocks to reserve room for embedding data before image encryption, then the original image is encrypted with a secret key and parametric binary tree labeling is used to label image pixels in two different categories. According to the experimental results, compared with several state-of-the-art methods, the proposed IPBTL-RDHEI method achieves higher embedding rate and outperforms the competitors. Due to the reversibility of IPBTL-RDHEI, the original content of the image and the secret information can be restored and extracted losslessly and separately.

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High-capacity reversible data hiding in encrypted images based on extended run-length coding and block-based MSB plane rearrangement

Cited by 112 publications

References 27 publications

Reversible Data Hiding in Encrypted Images With Dual Data Embedding

Reversible Data Hiding in Encrypted Images With Dual Data Embedding

Using Two Meaningful Shadows to Share Secret Messages with Reversibility

An Improved Reversible Data Hiding in Encrypted Images Using Parametric Binary Tree Labeling

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