An Introduction to Intelligent Multimedia Data Hiding

Huang, Hsiang Cheh; Fang, Wai-Chi; Jain, Lakhmi C.

doi:10.1007/978-3-540-71169-8_1

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…For many image‐processing applications, such a PSNR value is an acceptable quality image reconstruction. Obviously, our technique can directly reconstruct the 3D image information by the encryption and decryption based on the CS algorithm, which differs from previous methods, where only the 2D image information can be reconstructed . Here, we use one quantum key to encrypt and decrypt the 3D information that contains nine images, and therefore fewer random codes are required in our scheme, which is very helpful for improving the information transmission bandwidth.…”

Section: Resultsmentioning

confidence: 99%

“…To overcome several limitations of previous classical‐quantum cryptographic methods, here we present a new cryptographic scheme to realize the information and communication security by combining the QKD system and compressed sensing (CS) algorithm. The CS algorithm has been demonstrated to be a well‐established tool for encoding and decoding the image information based on the image sparsity, and therefore was considered to be a potential information and communication security technology. However, the key in the classical cryptographic method, which is generated by a computer, comprises the pseudo‐random codes, and so the key may be vulnerable to an eavesdropper's attack.…”

Section: Introductionmentioning

confidence: 99%

“…In our scheme, we utilize the true random codes (i.e., quantum key) that are generated by the QKD system to encode all 3D images and compress these encoded 3D images to a new 2D image, and finally employ the CS algorithm to reconstruct the original 3D images based on the measured 2D image and quantum key. We use one key to encrypt and decrypt the compressed 3D image information directly, which differs from previous methods, in which one 2D image information transmission requires one key. Therefore, an important advantage of our scheme is that fewer random codes are required, which is highly useful for increasing the information transmission bandwidth.…”

Section: Introductionmentioning

confidence: 99%

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Compressed 3D Image Information and Communication Security

et al. 2018

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Ensuring information and communication security in military messages, government instructions, scientific experiments, as well as in personal data processing, is critical. In this study, a new hybrid classical–quantum cryptographic scheme to protect image information and communication security is developed by combining a quantum key distribution (QKD) and compressed sensing (CS). This method employs a QKD system to generate true random codes among the remote legitimate users and utilizes these random codes to encrypt and decrypt compressed 3D image information based on the CS algorithm. Therefore, this new technique can provide computational security in the image information transmission process by the encryption and decryption of CS algorithm, and the information and communication security can be evaluated in real time by monitoring the QKD system. Furthermore, this technique can directly transmit and reconstruct the compressed 3D image information based on the modified TwIST algorithm, and thus fewer random codes are required in QKD system, which can improve the information transmission bandwidth. Consequently, this technique not only provides a new application of a QKD system but also extends the CS‐based image reconstruction from 2D to 3D. This study may open a new opportunity in the field of information and security communication.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Compressed 3D Image Information and Communication Security

et al. 2018

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An Introduction to the Evolution of the Web in an Artificial Intelligence Environment

Nayak

Jain

Studies in Computational Intelligence

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High payload watermarking based on enhanced image saliency detection

Khan

Wong

2022

Multimed Tools Appl

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Nowadays, images are circulated rapidly over the internet and they are subject to some risk of misuses. To address this issue, various watermarking methods are proposed in the literature. However, most conventional methods achieve a certain trade-off among imperceptibility and high capacity payload, and they are not able to improve these criteria simultaneously. Therefore, in this paper, a robust saliency-based image watermarking method is proposed to achieve high payload and high quality watermarked image. First, an enhanced salient object model is proposed to produce a saliency map, followed by a binary mask to segments the foreground/background region of a host image. The same mask is then consulted to decompose the watermark image. Next, the RGB channels of the watermark are encrypted by using Arnold, 3-DES and multi-flipping permutation encoding (MFPE). Furthermore, the principal key used for encryption is embedded in the singular matrix of the blue channel. Moreover, the blue channel is encrypted by using the Okamoto-Uchiyama homomorphic encryption (OUHE) method. Finally, these encrypted watermark channels are diffused and embedded into the host channels. When the need arises, more watermarks can be embedded into the host at the expense of the quality of the embedded watermarks. Our method can embed watermark of the same dimension as the host image, which is the first of its kind. Experimental results suggest that the proposed method maintains robustness while achieving high image quality and high payload. It also outperforms the state-of-the-art (SOTA) methods.

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An Introduction to Intelligent Multimedia Data Hiding

Cited by 4 publications

References 12 publications

Compressed 3D Image Information and Communication Security

Compressed 3D Image Information and Communication Security

An Introduction to the Evolution of the Web in an Artificial Intelligence Environment

High payload watermarking based on enhanced image saliency detection

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