High-Payload Data-Hiding Method for AMBTC Decompressed Images

Yeh, Jung-Yao; Chen, Chih‐Cheng; Liu, Po−Liang; Huang, Ying-Hsuan

doi:10.3390/e22020145

Cited by 4 publications

(6 citation statements)

References 21 publications

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“…In this section, a series of analyses and simulation results are demonstrated to prove the performance of the proposed scheme. In addition, comparisons among [15][16][17][18][19][20] also are presented in this section.…”

Section: Resultsmentioning

confidence: 99%

“…To further demonstrate the competitive performance of our proposed HP-AMBTCbased DH scheme in Table 2, we compare our scheme with six other existing BTC or AMBTC-based data hiding schemes [15][16][17][18][19][20]. It is noted that all data of the other six schemes are cited from the original experimental data presented by the original research teams.…”

Section: Capacity Versus Distortion Performancementioning

confidence: 99%

“…However, a lookup table is required for data hiding and extraction in our scheme; either the corresponding data hiding rules or data extraction rules can be easily programmed to replace the lookup table. To further demonstrate the competitive performance of our propo HP-AMBTC-based DH scheme in Table 2, we compare our scheme with six other exis BTC or AMBTC-based data hiding schemes [15][16][17][18][19][20]. It is noted that all data of the o six schemes are cited from the original experimental data presented by the origina search teams.…”

Section: Capacity Versus Distortion Performancementioning

confidence: 99%

See 2 more Smart Citations

A High-Payload Data Hiding Scheme Based on Absolute Moment Block Truncation Coding for Minimizing Hiding Impact

Lin,

Zhang,

Tai

et al. 2024

Symmetry

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Data hiding encompasses a wide range of applications related to hiding messages in digital images. The visual redundancy of images makes it possible to embed data in the images without attracting attention. Increasing the hiding capacity and decreasing the hiding distortion are prime objectives that data hiding intends to achieve. In this paper, we propose a high-payload data hiding scheme based on absolute moment block truncation coding (AMBTC) to minimize the impact of hiding. A two-level minimum mean square error (MMSE) quantizer generated by AMBTC is used to decrease the distortion associated with hiding. Also, we present a lookup table based on the symmetric property for adaptively hiding secrets in pixels to achieve high hiding capacity. We can embed almost 1.9 bits per pixel (bpp) with a high image quality of an average of 31 dB. Only 5.3% of pixels are changed during the data-hiding process. Compared with other schemes, we can use 1 bpp more relative payload for embedding with the same stego image quality. The experimental results show that the proposed scheme has better hiding performance because it allows a huge amount of secret data to be hidden while maintaining the high visual quality of the stego image.

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Section: Resultsmentioning

confidence: 99%

Section: Capacity Versus Distortion Performancementioning

confidence: 99%

Section: Capacity Versus Distortion Performancementioning

confidence: 99%

See 1 more Smart Citation

A High-Payload Data Hiding Scheme Based on Absolute Moment Block Truncation Coding for Minimizing Hiding Impact

Lin,

Zhang,

Tai

et al. 2024

Symmetry

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show abstract

“…Hui et al [13] sorted out the differences between quantity levels, and encoded the differences by Huffman coding to modify low quantity levels according to a lookup table and the secret data. Yeh et al [14] statistically analyzed the composition of the secret data stream and developed a lookup table, which contains unique encoding and decoding dictionary search, to adjust pixel values.…”

Section: Figurementioning

confidence: 99%

Data Hiding in AMBTC Images Using Selective XOR Hiding Scheme

Chen¹,

Hu²,

Yang³

et al. 2022

Computers, Materials &Amp; Continua

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Nowadays since the Internet is ubiquitous, the frequency of data transfer through the public network is increasing. Hiding secure data in these transmitted data has emerged broad security issue, such as authentication and copyright protection. On the other hand, considering the transmission efficiency issue, image transmission usually involves image compression in Internet-based applications. To address both issues, this paper presents a data hiding scheme for the image compression method called absolute moment block truncation coding (AMBTC). First, an image is divided into nonoverlapping blocks through AMBTC compression, the blocks are classified four types, namely smooth, semi-smooth, semi-complex, and complex. The secret data are embedded into the smooth blocks by using a simple replacement strategy. The proposed method respectively embeds nine bits (and five bits) of secret data into the bitmap of the semi-smooth blocks (and semicomplex blocks) through the exclusive-or (XOR) operation. The secret data are embedded into the complex blocks by using a hidden function. After the embedding phase, the direct binary search (DBS) method is performed to improve the image quality without damaging the secret data. The experimental results demonstrate that the proposed method yields higher quality and hiding capacity than other reference methods.

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“…A compound chaotic system, Sine-Tent map, is proposed to widen the chaotic range and improve the chaotic performance. Data hiding is another very crucial research topic in information security [ 13 ]. In this article, the authors are proposing a high-capacity data-hiding scheme for absolute moment block truncation coding (AMBTC) decompressed images.…”

mentioning

confidence: 99%