A general framework for partial reversible data hiding using hamming code

Wu, Xiaotian; Yang, Ching-Nung; Liu, Yen-Wei

doi:10.1016/j.sigpro.2020.107657

Cited by 15 publications

(21 citation statements)

References 42 publications

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“…Data hiding technology can be broadly categorized into two major classes based on the extent of recoverability of cover images: reversible data hiding (RDH) [1][2][3][4][5][6][7] and irreversible data hiding (IRDH) [8][9][10][11][12][13][14][15][16][17]. As the names suggest, RDH techniques allow for the lossless restoration of the cover image after extracting the hidden data, whereas IRDH techniques introduce irreversible distortions to the cover image during the embedding of secret data.…”

Section: Introductionmentioning

confidence: 99%

A Simple and Efficient Data Hiding Method with Error Detection and Correction

Chi,

Liu,

Chang

et al. 2024

Electronics

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In recent years, data hiding techniques have emerged as a prominent area of research due to the increasing demand for information security. Existing data hiding techniques typically do not prioritize the verification of the correctness of the extracted data, nor do they attempt to rectify any erroneous information extracted. This paper presents a simple yet effective method by which a recipient can perform error detection and correction on extracted data. Prior to data embedding, a preprocess is applied to secret data. After converting the secret data to a data stream, a data hider categorizes adjacent and identical bits within the data stream into groups. The number of these bits is then recorded as an indicator to extract information and perform error detection and correction. The number of bits in each group is adjusted to ensure that it is an odd number. Moreover, the collected indicator data stream is encoded using (7,4) Hamming code to compact the recorded information. Finally, the concatenation of the encoded indicator and the encoded secret is embedded into the multiple least significant bits (LSBs) of the original image pixels. As for the receiver, error correction can be applied based on the indicator after the extraction of the encoded data. Experimental results demonstrate that this method allows the data receiver to detect and correct errors while maintaining a certain level of embedding capacity and image quality. In terms of image quality, this method exhibits superior performance compared to existing research when the embedded data volume is relatively small.

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Section: Introductionmentioning

confidence: 99%

A Simple and Efficient Data Hiding Method with Error Detection and Correction

Chi,

Liu,

Chang

et al. 2024

Electronics

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“…This is why it is still widely used today in many applications related to the digital data transmission and commuication networks. [17,25,4,29,33,34,14,18]. In 2021, Falcone and Pavone [6] studied the weight distribution problem of the binary Hamming code.…”

Section: Introductionmentioning

confidence: 99%

A simple coding-decoding algorithm for the Hamming code

Khadir¹

2022

Preprint

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“…However, they often provide a limited payload size. Furthermore, some authors have proposed reversible (or lossless) data hiding techniques to completely restore the original content of (valuable) host media, such as medical or satellite images, after data extraction (Wu et al, 2020;Li & Huang 2020). Because the proposed ECG steganography is a lossy data hiding approach, only the related articles are surveyed in the following subsection.…”

Section: Introductionmentioning

confidence: 99%

Hiding Secrets in Electrocardiogram Based on Integer Wavelet Transform with Coefficient Adjustment and LSB Substitution

Yang¹,

Wang²

2022

NCT

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In this paper, we present an efficient data hiding for electrocardiogram (ECG) hosts to solve the issues of existing ECG steganographic methods, which have less hiding capacity and insufficient signal-to-noise ratio (SNR)/ peak SNR (PSNR). Based on the integer wavelet transform (IWT), private (or sensitive) data such as patients’ diagnosis and personal information can be embedded in an ECG host via the IWT coefficient adjustment and the least significant bit (LSB) technique. Simulations indicated that the SNR (or PSNR), and payload of the proposed method outperform those of existing techniques. In addition, the proposed method is capable of resisting attacks, such as cropping, Gaussian noise-addition inversion, scaling, translation, and truncation attacks from third parties (or adversaries). Since the proposed method has low computational complexity, our method can be employed in portable biometric devices or wearable electronics.

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A general framework for partial reversible data hiding using hamming code

Cited by 15 publications

References 42 publications

A Simple and Efficient Data Hiding Method with Error Detection and Correction

A Simple and Efficient Data Hiding Method with Error Detection and Correction

A simple coding-decoding algorithm for the Hamming code

Hiding Secrets in Electrocardiogram Based on Integer Wavelet Transform with Coefficient Adjustment and LSB Substitution

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