Comparison analysis of digital image watermarking using DWT and LSB technique

Kumaran, N.; Abinaya, S.

doi:10.1109/iccsp.2016.7754176

Cited by 8 publications

(4 citation statements)

References 5 publications

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“…erefore, it is an effective way to protect information security, such as anticounterfeiting traceability and copyright protection. Earlier digital watermarking technologies [1,2] focused on grayscale images, and watermarks were embedded in spatial or frequency domains. With the development of artificial intelligence and the special demand for host images, adaptive watermarking [3,4], reversible watermarking [5], and deep learning watermarking [6] have received attention.…”

Section: Introductionmentioning

confidence: 99%

A Novel Comprehensive Watermarking Scheme for Color Images

Duan

Wang

Liu

et al. 2020

Security and Communication Networks

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Watermarking technology is commonly used to solve various problems in digital rights management and multimedia security. If a watermarking scheme with multiple purposes applies single method, it will easily cause the destruction of the hidden messages in particular attacks. For the copyright protection and tamper detection of color images, this research proposed a robust-fragile watermarking scheme. The two different embedding schemes embed the watermark into the R layer and G layer after NSST (nonsubsampled shearlet transform) and DWT (discrete wavelet transform) transformation. The hash sequence generated by the R layer and the G layer is served as fragile watermarks and is embedded into the B layer by the LSB (least significant bit) method. Finally, an improved rotation correction is applied to better extract the watermark under the rotation attack. Experimental results show that the proposed method is more accurate than the existing ones in terms of rotation angle correction and can effectively resist general attacks such as noise, filtering, and JEPG compression. Moreover, the proposed fragile watermark can locate the tamper position when malicious tamper occurs. Except cropping attack, the true-positive rate (TPR) reaches 1 for all attacks.

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Section: Introductionmentioning

confidence: 99%

A Novel Comprehensive Watermarking Scheme for Color Images

Duan

Wang

Liu

et al. 2020

Security and Communication Networks

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“…When the beneficiary approves and decodes the information, the item can be hence taken from any substance distinguishing proof, verification of-proprietorship or other graphic data. This may prompt further duplication and re-appropriation leaving the rights holders weak and sovereignty less [5]. To enhance the security of audio data, digital watermarking and steganography techniques complement cryptography for protecting content even after it is deciphered [6].…”

Section: Introductionmentioning

confidence: 99%

Data Hiding and Compression Encryption through Discrete Wavelet Transform and Block Coding

Dwivedi¹,

Nair²

2019

IJCA

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The ubiquitous nature of digital network systems means that digital documents can be copied and distributed easily to large numbers of people with no cost. Individuals can download sound, picture and video records, and they can impart them to companions and they can control or adjust their unique substance. This is the reason there is an earnest need to ensure the copyright of such media. There are various advances that will give insurance from unlawful replicating. Advanced watermarking calculations were created to take care of this issue. To secure and less space data hiding and compression encryption through discrete shearlet transform (DST) and block based coding algorithm is present paper. According to efficient scheme is increase PSNR (peak signal to noise ratio), SSIM (similarity index) and decrease mean square error (MSE).

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“…It is done by embedding additional information called digital signature or watermark into the digital contents such that it can be detected, extracted later to make an assertion about the multimedia data. [1,2] For image cryptography, the algorithms can be categorized into one of the two domains: spatial domain or transform domain. [1,2] In Spatial domain the data is embedded directly by modifying pixel values of the host image, while transform domain schemes embed data by modifying transform domain coefficients.…”

Section: Introductionmentioning

confidence: 99%

“…[1,2] For image cryptography, the algorithms can be categorized into one of the two domains: spatial domain or transform domain. [1,2] In Spatial domain the data is embedded directly by modifying pixel values of the host image, while transform domain schemes embed data by modifying transform domain coefficients. Algorithms used for special domain are less robust for various attacks as the changes are made at least Significant Substitution (LSB) of original data.…”

Section: Introductionmentioning

confidence: 99%

SVD-DWT Amalgamated Cryptography Scheme Antagonistic to Noise Attacks

Dwivedi¹,

Saxena²

2018

IJCA

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In order to improve the robustness and imperceptibleness of the algorithm, a new embedding and extracting method with DWT-SVD is proposed. The approximation matrix of the third level of image in DWT domain is modified with SVD to embed the singular value of watermark to the singular value of DWT coefficient. The proposed embedding and extracting method was employed to accelerate the hybrid DWT-SVD cryptography and to avoid the leak of watermark. This hybrid technique leads to optimize both the fundamentally conflicting requirements. The experimental results show both the good robustness under numerous attacks and the high fidelity. The time needed to perform the program is greatly decreased.

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Comparison analysis of digital image watermarking using DWT and LSB technique

Cited by 8 publications

References 5 publications

A Novel Comprehensive Watermarking Scheme for Color Images

A Novel Comprehensive Watermarking Scheme for Color Images

Data Hiding and Compression Encryption through Discrete Wavelet Transform and Block Coding

SVD-DWT Amalgamated Cryptography Scheme Antagonistic to Noise Attacks

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