A Novel Reversible Data Hiding Algorithm Based on Enhanced Reduced Difference Expansion

Nguyen, Thai-Son; Huynh, Van-Thanh; Vo, Phuoc-Hung

doi:10.3390/sym14081726

Cited by 5 publications

(4 citation statements)

References 28 publications

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“…In the last two decades, RDH technology has flourished [2]. General RDH algorithms are based on three types of techniques: lossless compression [3][4][5], extended transformations [6][7][8][9][10][11], and histogram shifting (HS) [12,13]. With these techniques, many algorithms can achieve better performance.…”

Section: Introductionmentioning

confidence: 99%

Reversible Data Hiding in Encrypted Images Based on the Mixed Multi-Bit Layer Embedding Strategy

Liu

Zhou

2023

Applied Sciences

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With the increasing requirements for the security of medical data, military data, and other data transmission, data hiding technology has gradually developed from only protecting the security of secret data to all transmission data. As a necessary technical means, reversible data hiding in encrypted images (RDH-EIs) provides superior performance in terms of security. To simultaneously improve the effectiveness of RDH-EIs, this work proposes a mixed multi-bit layer embedding strategy in encrypted images. The cover image is processed into two categories: available hidden blocks (AHBs) and unavailable hidden blocks (UHBs) at the sender. Then, all data are embedded in the multi-bit layer of the encrypted pixels in AHBs through two embedding strategies to obtain the transmission image. At the receiver, the user can extract the needed data separably according to different keys to achieve error-free extraction of the secret data and lossless recovery of the cover image. The experimental results show that the proposed scheme has the advantages of superior embedding capacity and high decryption quality over the current state-of-the-art works.

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Section: Introductionmentioning

confidence: 99%

Reversible Data Hiding in Encrypted Images Based on the Mixed Multi-Bit Layer Embedding Strategy

Liu

Zhou

2023

Applied Sciences

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“…Other than some basic experiments to analyze the performances of the proposed scheme, we compare our results with some of the state-of-the-art schemes [15][16][17][18]29] to make sure our results are still solid. The results of Table 9 (Comparative performance of PSNR (dB)) use four grayscale images to compare between our method and the state-of-theart ones by using range difference between [−1, 1] with group size 5.…”

Section: Performance Comparison With Other Dh Methodsmentioning

confidence: 99%

“…Depending on the applications' requirements, reversible ones recover the original media, while irreversible ones either do not care about the original media or the stego media has a comparable quality to its originals. Moreover, the data hiding methods can be classified into four categories according to the domains being processed: spatial [11][12][13][14][15][16][17][18], transform [19][20][21], compressed [22][23][24], and encryption [8,[25][26][27]. When using spatial domain methods, secret data are embedded into cover images by modifying their pixel values.…”

Section: Introductionmentioning

confidence: 99%

High-Capacity Imperceptible Data Hiding Using Permutation-Based Embedding Process for IoT Security

Liu,

Chang,

Chang

et al. 2023

Electronics

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The internet of things (IoT) has become a popular technology in communication which utilizes the concept of connecting things together and exchanges information through various networks. Since data can be transferred through a wide range of channels, IoT systems suffer from potential data leakages. One of the common ways to reduce such risks is to engage steganography with secret information during transmission. A novel scheme proposed in this paper exploits simple pixel permutations to embed secret data. Instead of handling pixel blocks, the proposed scheme maneuvers on pixels directly. The proposed scheme simply manipulates the sequenced pixels using two coefficients, a threshold of range for pixel values, and a specified clustering count to fulfill the two major requirements of effective data hiding. The experimental results indicate that the proposed scheme provides a satisfactory embedding capacity and preserves a high level of image visual quality. The overall performance of the proposed scheme demonstrates its high potential in IoT security.

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“…The results show this method has a higher embedding capacity and produces images with superior visual quality. Other RDH based on DE approaches were presented in [1], [4], [16], [17], [19]- [29]. However, security remains an issue in these RDH methods as the embedded data can be easily accessed and altered by unauthorized individuals if they know the employed method.…”

mentioning

confidence: 99%

Secure medical image watermarking based on reversible data hiding with Arnold's cat map

Arham,

Lestari

2023

Int. J. Adv. Intell. Informatics

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The process of restoring medical images to their original form after the extraction process in application watermarking is crucial for ensuring their authenticity. Inaccurate diagnoses can occur due to distortions in medical images from conventional data embedding applications. To address this issue, reversible data hiding (RDH) method has been proposed by several researchers in recent years to embed data in medical images. After the extraction process, images can be restored to their original form with a reversible data-hiding method. In the past few years, several RDH methods have been rapidly developed, which are based on the concept of difference expansion (DE). However, it is crucial to pay attention to the security of the medical image watermarking method, the embedded data with RDH method can be easily modified, accessed, and altered by unauthorized individuals if they know the employed method. This research suggests a new approach to secure the RDH method through the use of Chaotic Map-based Arnold's Cat Map algorithms on the medical images. Data embedding was performed on random medical images using a DE method. Four gray-scale medical image modalities were used to assess the proposed method's efficacy. In our approach, we can incorporate capacity up to 0.62 bpp while maintaining a visual quality up to 41.02 dB according to PSNR and 0.9900 according to SSIM. The results indicated that it can enhance the security of the RDH method while retaining the ability to embed data and preserving the visual appearance of the medical images.

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A Novel Reversible Data Hiding Algorithm Based on Enhanced Reduced Difference Expansion

Cited by 5 publications

References 28 publications

Reversible Data Hiding in Encrypted Images Based on the Mixed Multi-Bit Layer Embedding Strategy

Reversible Data Hiding in Encrypted Images Based on the Mixed Multi-Bit Layer Embedding Strategy

High-Capacity Imperceptible Data Hiding Using Permutation-Based Embedding Process for IoT Security

Secure medical image watermarking based on reversible data hiding with Arnold's cat map

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