Blind Digital Image Watermarking using Henon Chaotic Map and Elliptic Curve Cryptography in Discrete Wavelets with Singular Value Decomposition

Murugadoss, Bhuvanashree; Karna, Sai Nikhilesh Reddy; Kode, Jai Surya; Subramani, R

doi:10.1109/iria53009.2021.9588744

Cited by 9 publications

(7 citation statements)

References 13 publications

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“…For rotation and JPEG compression attacks, the scheme in [ 33 ] and ours perform slightly better than in Ref. [ 35 ] but are obviously superior to others. As for cropping attack, we can find that the scheme in [ 33 ] and ours are still outperforming others.…”

Section: Resultsmentioning

confidence: 88%

“…As shown in Figure 8 , the test images include the

grayscale host image “baboon” and eight grayscale watermark images with a size of

, which are downloaded from the widely used public image database USC-SIPI. We compare our method with several existing recent ones which include the hybrid blind digital image watermarking methods [ 33 ], visually meaningful image encryption scheme based on a single chaotic map [ 18 ], blind color image watermarking method based on DWT and DCT [ 34 ], blind digital image watermarking based on Henon Chaotic Map and Elliptic Curve Cryptography [ 35 ], and secure and robust digital watermarking scheme based on logistic and RSA encryption [ 36 ]. The evaluated indicators involve capacity, imperceptibility, robustness, and security.…”

Section: Resultsmentioning

confidence: 99%

“…To obtain an objective assessment, we apply grayscale image “baboon” uniformly to verify our proposed methods and the ones in [ 18 , 33 , 35 , 36 ] except for [ 34 ] require a colorful form.…”

Section: Resultsmentioning

confidence: 99%

“…As shown in Figure 9 , our scheme ensures a total of eight watermarks with a size of

to be inserted in a host image with a size of

, the works in [ 33 , 34 ] can embedded only 1 watermark with a size of

and

, respectively. While the others [ 18 , 35 , 36 ] are one watermark with a size of

. It is clear that our scheme enables maximum utilization of the capacity of the host image, which owns a higher capacity for watermarks than other schemes.…”

Section: Resultsmentioning

confidence: 99%

“… NCC values under noise attack. ( a ) Gaussian noise attack; ( b ) Salt and Pepper noise attack [ 18 , 33 , 34 , 35 , 36 ]. …”

Section: Figurementioning

confidence: 99%

See 4 more Smart Citations

A Hyper-Chaotically Encrypted Robust Digital Image Watermarking Method with Large Capacity Using Compress Sensing on a Hybrid Domain

Yang

Sun

et al. 2022

Entropy

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The digital watermarking technique is a quite promising technique for both image copyright protection and secure transmission. However, many existing techniques are not as one might have expected for robustness and capacity simultaneously. In this paper, we propose a robust semi-blind image watermarking scheme with a high capacity. Firstly, we perform a discrete wavelet transformation (DWT) transformation on the carrier image. Then, the watermark images are compressed via a compressive sampling technique for saving storage space. Thirdly, a Combination of One and Two-Dimensional Chaotic Map based on the Tent and Logistic map (TL-COTDCM) is used to scramble the compressed watermark image with high security and dramatically reduce the false positive problem (FPP). Finally, a singular value decomposition (SVD) component is used to embed into the decomposed carrier image to finish the embedding process. With this scheme, eight 256×256 grayscale watermark images are perfectly embedded into a 512×512 carrier image, the capacity of which is eight times over that of the existing watermark techniques on average. The scheme has been tested through several common attacks on high strength, and the experiment results show the superiority of our method via the two most used evaluation indicators, normalized correlation coefficient (NCC) values and the peak signal-to-noise ratio (PSNR). Our method outperforms the state-of-the-art in the aspects of robustness, security, and capacity of digital watermarking, which exhibits great potential in multimedia application in the immediate future.

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Section: Resultsmentioning

confidence: 88%

“…As shown in Figure 8 , the test images include the

grayscale host image “baboon” and eight grayscale watermark images with a size of

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

“…As shown in Figure 9 , our scheme ensures a total of eight watermarks with a size of

to be inserted in a host image with a size of

, the works in [ 33 , 34 ] can embedded only 1 watermark with a size of

and

, respectively. While the others [ 18 , 35 , 36 ] are one watermark with a size of

. It is clear that our scheme enables maximum utilization of the capacity of the host image, which owns a higher capacity for watermarks than other schemes.…”

Section: Resultsmentioning

confidence: 99%

“… NCC values under noise attack. ( a ) Gaussian noise attack; ( b ) Salt and Pepper noise attack [ 18 , 33 , 34 , 35 , 36 ]. …”

Section: Figurementioning

confidence: 99%

See 3 more Smart Citations

A Hyper-Chaotically Encrypted Robust Digital Image Watermarking Method with Large Capacity Using Compress Sensing on a Hybrid Domain

Yang

Sun

et al. 2022

Entropy

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show abstract

Stress Level Detection in Continuous Speech Using CNNs and a Hybrid Attention Layer

Subramani,

Suresh,

Donald

et al. 2023

Lecture Notes in Networks and Systems

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A secure authenticated image encryption scheme based on elliptic curve cryptography

Jnana Ramakrishna,

Bharath Kalyan Reddy,

Amritha

et al. 2023

International Journal of Computers and Applications

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Blind Digital Image Watermarking using Henon Chaotic Map and Elliptic Curve Cryptography in Discrete Wavelets with Singular Value Decomposition

Cited by 9 publications

References 13 publications

A Hyper-Chaotically Encrypted Robust Digital Image Watermarking Method with Large Capacity Using Compress Sensing on a Hybrid Domain

A Hyper-Chaotically Encrypted Robust Digital Image Watermarking Method with Large Capacity Using Compress Sensing on a Hybrid Domain

Stress Level Detection in Continuous Speech Using CNNs and a Hybrid Attention Layer

A secure authenticated image encryption scheme based on elliptic curve cryptography

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