A watermarking scheme using intellectual encoding-encryption based blind reversible integer wavelet-singular value decomposition transform for authenticity detection

Kavitha, K J

doi:10.1007/s12652-020-02496-9

Cited by 2 publications

(3 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e embedded pixel is 􏽥 y 1 � y 1 + a, and y 2 remains the same. When a � 0, the embedded two-pixel values still satisfy formula (2). If a ∈ [1, 2n] is embedded, it is no longer satisfied.…”

Section: Information Embeddingmentioning

confidence: 99%

“…If a ∈ [1, 2n] is embedded, it is no longer satisfied. Formula ( 4) is obtained by substituting 􏽥 y 1 and y 2 into formula (2).…”

Section: Information Embeddingmentioning

confidence: 99%

“…Information owners are unwilling to directly expose sensitive data including personal privacy to open channels or unreliable databases. Therefore, information owners will first encrypt the original information by using encryption technology and then send or transmit ciphertext information [ 2 ]. For a channel or database administrator, additional information such as tag information and authentication information need to be directly embedded into ciphertext information for management.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Reversible Information of Encrypted Image Based on Feature Difference Detection and Wavelet Transform

Ding

Yun-bo

Zhang

et al. 2021

Contrast Media & Molecular Imaging

View full text Add to dashboard Cite

Aiming at the shortcomings of the existing lossless digital watermarking algorithm based on frequency domain in reversibility and embedding capacity, this study proposes a lossless digital image watermarking algorithm based on fractional wavelet transform, which is used for large-capacity reversible information hiding of images. First, the image is transformed by LeGall5/3 fractional wavelet, and then, the watermark is embedded in the high-frequency subband by the histogram shift method. In order to obtain maximum embedding capacity and reduce image distortion, the methods of selecting embedding parameters and stopping parameters are proposed, respectively. At the same time, in order to prevent overflow and reduce additional information, a new method of generating position map is proposed. The experimental results show that Lena is the result of multilayer embedding based on the algorithm in this study. In order to better observe the distortion phenomenon and enlarge the image, the Lena test image is the watermark image obtained after two and three layers of embedding, and its embedding capacity can be 2.7 bpp. It is proved that wavelet transform is suitable for encrypted images to implement covert communication.

show abstract

Section: Information Embeddingmentioning

confidence: 99%

“…If a ∈ [1, 2n] is embedded, it is no longer satisfied. Formula ( 4) is obtained by substituting 􏽥 y 1 and y 2 into formula (2).…”

Section: Information Embeddingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Reversible Information of Encrypted Image Based on Feature Difference Detection and Wavelet Transform

Ding

Yun-bo

Zhang

et al. 2021

Contrast Media & Molecular Imaging

View full text Add to dashboard Cite

show abstract

High payload watermarking based on enhanced image saliency detection

Khan

Wong

2022

Multimed Tools Appl

View full text Add to dashboard Cite

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.

show abstract

A watermarking scheme using intellectual encoding-encryption based blind reversible integer wavelet-singular value decomposition transform for authenticity detection

Cited by 2 publications

References 27 publications

Reversible Information of Encrypted Image Based on Feature Difference Detection and Wavelet Transform

Reversible Information of Encrypted Image Based on Feature Difference Detection and Wavelet Transform

High payload watermarking based on enhanced image saliency detection

Contact Info

Product

Resources

About