A square lattice oriented reversible information hiding scheme with reversibility and adaptivity for dual images

Su, Guo-Dong; Liu, Yanjun; Chang, Chin‐Chen

doi:10.1016/j.jvcir.2019.102618

Cited by 18 publications

(15 citation statements)

References 22 publications

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“…While achieving high EC, our approach also provides secure covert communication. To prove this point, more detailed, security analyses like PVD (pixel value difference) histogram [34], RS steganalysis [35] and relative entropy (RE) [36] are employed to analyse the stego‐images with an ER of 2.56 bpp. In the security analysis, eight greyscale images were explored in our experiments.…”

Section: Resultsmentioning

confidence: 99%

Secure high capacity tetris‐based scheme for data hiding

Chang

Lin³

et al. 2020

IET image process

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Information hiding is a technique that conceals private information in a trustable carrier, making it imperceptible to unauthorised people. This technique has been used extensively for secure transmissions of multimedia, such as videos, animations, and images. This study proposes a novel Tetris‐based data hiding scheme to flexibly hide more secret messages while ensuring message security. First, an LQ × LQ square lattice Q is selected to determine the maximum embedding capacity, and then it is filled without gaps through rotating and sliding tetrominoes while making the shape of each tetromino different. Secondly, according to the decided Q, the reference matrix and corresponding look‐up table are constructed and then used for secret messages embedding and extraction. In the authors approach, each pixel pair of the original image can be processed to conceal 4‐ or 6‐bit secret messages. The experimental results show that their proposed Tetris‐based scheme has excellent performance, exceeding the performance of some state‐of‐the‐art schemes in both embedding capacity and visual quality. The proposed scheme also provides secure covert communication.

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Section: Resultsmentioning

confidence: 99%

Secure high capacity tetris‐based scheme for data hiding

Chang

Lin³

et al. 2020

IET image process

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“…1) PSNR [37]: Generally, PSNR is used to evaluate the distance between the recovered image and the original image. It is defined by: 2) Normalized cross-correlation (NCC) [25]: NCC is used to measure the similarity between two binary images.…”

Section: A Evaluation Factorsmentioning

confidence: 99%

Effective Self-Recovery and Tampering Localization Fragile Watermarking for Medical Images

Chang

Lin

2020

IEEE Access

Self Cite

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It is increasingly important to achieve security and anti-counterfeiting for medical images. The integrity and verifiability of medical images before they are reviewed for potential medical diagnoses is imperative. This paper presents an effective self-embedding fragile watermarking scheme for medical images. Both self-recovery information and authentication code for each block are generated in advance and then embedded into other blocks separately with the help of the turtle shell and embedding table. In the tampering detection and localization phase, a three-level detection and localization strategy is employed to achieve higher accuracy for tampering localization. In the self-recovery phase, a two-hierarchical restoration method is exploited to achieve higher image quality in the recovered images. Several malicious attacks were tested to demonstrate the performance of the proposed scheme in terms of tampering detection and image recovery. Simulation results confirmed that the tampering detection rate can be up to 99.83% and the average PSNR of a recovered image can be up to 42.11 dB, both of which are higher than those of the Shehab et al.'s method. INDEX TERMS Medical images, fragile watermarking, authentication, self-recovery, turtle shell-based data hiding (TSDH)

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“…Over the past few years, researchers have proposed many RDH algorithms, such as differential expansion [1][2][3][4][5][6], the histogram shift [7][8][9][10][11][12][13], and lossless compression [14]. The differential expansion method [1][2][3][4][5][6] uses a doubling of the difference between adjacent pixels to embed additional data.…”

Section: Introductionmentioning

confidence: 99%

Reversible Data Hiding in Encrypted Images Based on Block-Wise Multi-Predictor

Zhang

Lin

2021

IEEE Access

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Reversible data hiding of encrypted images (RDHEI) is a technology where after the original image is encrypted with a key, secret data can be embedded in the encrypted image without knowing the information of the original image. In recent years, RDHEI has attracted much attention due to its security and effectiveness, and many RDHEI methods have been proposed. However, the capacity of embedded data is still not high enough. In this paper, a high-capacity RDHEI algorithm based on block-wise multipredictor, and improved Huffman coding is proposed. First, the original image is divided into nonoverlapping blocks. To better exploit the spatial correlation of the original image, 16 prediction models are used to predict the current pixel value from the neighboring pixels. All the pixels in one block use the same prediction model. The improved Huffman encoding is used to compress the prediction error image and the optimal prediction model determined by the sum of the absolute prediction errors, which makes more room for data embedding. The experimental results show that our method is superior to some of the latest algorithms in terms of achieving a higher embedding capacity.

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A square lattice oriented reversible information hiding scheme with reversibility and adaptivity for dual images

Cited by 18 publications

References 22 publications

Secure high capacity tetris‐based scheme for data hiding

Secure high capacity tetris‐based scheme for data hiding

Effective Self-Recovery and Tampering Localization Fragile Watermarking for Medical Images

Reversible Data Hiding in Encrypted Images Based on Block-Wise Multi-Predictor

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