Strong robust zero watermarking algorithm based on NSCT transform and image normalization

Yang, Kunyu; Wang, Weiwei; Yuan, Zhihua; Zhao, Wenyun

doi:10.1109/iaeac.2018.8577943

Cited by 14 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This algorithm has strong invisibility and can accurately determine the location of the watermark in order to improve the robustness of the zero -watermark. In 2018, Yang et al [5] proposed a strong robust zero watermarking algorithm based on NSCT(Non-sampling Contourlet Transform domain) transform and image normalization. The scheme has good anti attack ability and imperceptibility, and can be applied in the field of zero watermark.…”

Section: Zero-watermark Algorithmmentioning

confidence: 99%

A Image Copyright Protection Method Using Zero-Watermark by Blockchain and IPFS

Chen¹,

Zhao²,

Xie³

et al. 2021

Journal of Information Hiding and Privacy Protection

View full text Add to dashboard Cite

Behind the popularity of multimedia technology, the dispute over image copyright is getting worse. In the digital watermark prevention technology for copyright infringement, watermark technology is considered to be an important technology to overcome data protection problems and verify the relationship between data ownership. Among the many digital watermarking technologies, zero watermarking technology has been favored in recent years. However, the existing zero watermark technology in the implementation process often needs a trusted third party to store watermarks, which may make the data too central, data storage security is low and copyright registration costs are too high, which creates a rare problem. The decentivization and information cannot be tampered of blockchain technology's nature find new methods for image copyright protection. This paper studies the role of zero watermark algorithm in the image copyright and its complete storage and certification scheme, proposes a zero watermark image protection framework based on blockchain, and builds a system according to the framework. Combined with blockchain and zero watermarking technology, the framework uses inter IPFS (Inter Planetary File System) to solve the problem of blockchain efficient storage and sharing of large files. In addition, the application of user copyright information, image image query and image trading in the system are realized based on smart contracts, which solves the problem of lack of trusted third parties. Experiments show that the scheme is feasible and robust to various attacks.

show abstract

Section: Zero-watermark Algorithmmentioning

confidence: 99%

A Image Copyright Protection Method Using Zero-Watermark by Blockchain and IPFS

Chen¹,

Zhao²,

Xie³

et al. 2021

Journal of Information Hiding and Privacy Protection

View full text Add to dashboard Cite

show abstract

“…For the matrix A of D × F, the principle of SVD shows that its SVD can be expressed as:

A = U \sum V^{normalT},

where U is a D × D matrix; F is a diagonal matrix of D × F whose main diagonal elements are singular values; V is a matrix of F × F ; U and V are both unitary matrices, that is, UU T and VV T are unit matrices; and superscript “T” is matrix transposition operation. SVD has a certain degree of understanding correlation 17 and information concentration 18,19 and has many applications in extracting features and digital watermarks.…”

Section: Gabor‐dct Domain Image Zero Watermark Generation and Authent...mentioning

confidence: 99%

A novel zero watermark optimization algorithm based on Gabor transform and discrete cosine transform

Fan

Gao

et al. 2020

Concurrency and Computation

View full text Add to dashboard Cite

Zero watermark has no intervention on the carrier image, which is invisible in nature, and completely solves the problem of mutual constraint between robustness and invisibility in the traditional digital watermark technology. In order to improve the robustness of the zero watermark, a zero watermark algorithm based on Gabor transform and discrete cosine transform (DCT) is proposed in this paper. The algorithm performs Gabor transformation on the carrier image to obtain the directional characteristics of the image. Then it performs DCT and blocks, and performs singular value decomposition (SVD) on each subblock. The feature matrix is constructed using the largest eigenvalue of the subblock, and then XORed with the encrypted watermark to form a zero watermark. The algorithm utilizes the advantages of Gabor transform in the adjustment of scale and direction and selects the optimized parameters to extract image features. At the same time, the information concentration and decorrelation of DCT and SVD are utilized to improve the robustness and antiattack capability of the algorithm. The experimental results show that the proposed algorithm is robust to filtering, JPEG compression, noise, shearing, rotation, and other attacks, especially effective in antishear attack and rotation attack.

show abstract

“…Digital watermarking is a promising solution, but there is a trade-off between its imperceptibility and robustness [2]. Zero-watermarking technology addresses this issue by constructing the watermark information using the important features of the original audio without modifying it, resulting in excellent imperceptibility [3]. Table 1 lists some common audio watermarking techniques and highlights their pros and cons.…”

Section: Introductionmentioning

confidence: 99%

A zero‐watermarking technique based on i‐vector model for audio copyright protection

Xu,

He,

Guo

2023

Electronics Letters

View full text Add to dashboard Cite

Audio zero‐watermarking is a promising technology for audio copyright protection. It does not modify the content of the original carrier and has good imperceptibility. Considering that i‐vector model can map audio signals of different lengths into a vector space of fixed length, which has good robustness against desynchronization attacks, a robust audio zero‐watermarking technique based on i‐vector model is proposed here. The proposed scheme extracts the i‐vector of the input signal to identify its inherent stability features and then generates a key by XOR operation on the watermark and encoded feature sequences. Experimental results show that this scheme can effectively resist common attacks and desynchronization attacks.

show abstract

Strong robust zero watermarking algorithm based on NSCT transform and image normalization

Cited by 14 publications

References 4 publications

A Image Copyright Protection Method Using Zero-Watermark by Blockchain and IPFS

A Image Copyright Protection Method Using Zero-Watermark by Blockchain and IPFS

A novel zero watermark optimization algorithm based on Gabor transform and discrete cosine transform

A zero‐watermarking technique based on i‐vector model for audio copyright protection

Contact Info

Product

Resources

About