A secure non-blind block based digital image watermarking technique using DWT and DCT

Arya, Ranjan Kumar; Singh, Shalu; Saharan, Ravi

doi:10.1109/icacci.2015.7275917

Cited by 16 publications

(12 citation statements)

References 12 publications

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“…Invisible watermark insertion has two domains, namely spatial domain and transforms domain. Watermarking can also be categorized as blind watermarking (a watermark image validation process that does not require a host image) and non-blind watermarking (a watermark image validation process that requires a host image) [7]. In the spatial domain, the watermark image can be inserted into the host image pixels directly, and it can be done easily and quickly; if the transform domain, the host image will be converted into a frequency before inserting the watermark image [8].…”

Section: Introductionmentioning

confidence: 99%

“…The experiment results on eight attacks resulted in the Correlation Coefficient (CC) value, which did not produce a perfect value for the Gaussian noise attack, which only reached 0.6. In contrast, the image without attack resulted in CC = 1, and the highest PSNR was 45 dB [7]. also carried out the merger of DCT and DWTwass.…”

Section: Introductionmentioning

confidence: 99%

“…also carried out the merger of DCT and DWTwass. in 2015 [7]. In this study, DWT has applied first then DCT.…”

Section: Introductionmentioning

confidence: 99%

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A Non-Blind Robust and Impercept Watermarking Using Discrete Cosine Transform and Discrete Wavelet Transform

Rachmawanti

Santoso

2021

KINETIK

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Non-blind watermarking is a form of watermarking with a watermark image validation process that requires a host image. The use of the transform domain is more robust and imperceptible. The transform domain method is resistant to various forms of digital image attacks. In this study, Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) were selected as watermark insertion algorithms. DCT is faster and more resistant to attacks, especially in image compression attacks, but has lower imperceptibility than DWT. DWT is also known to be resistant to noise attacks, filtering, blurring, cropping, and has high imperceptibility depending on the sub-band selection but is not resistant to image compression attacks. Based on each algorithm's advantages and disadvantages, there is an opportunity to combine it to analyze and compare the insertion results with DCT and DWT itself. To test the results of imperceptibility, we used the Peak Signal to Noise Ratio (PSNR), while to test the robustness, we used Cross-Correlation (CC) and Bit Error Ratio (BER). Without attacks, the PSNR on the proposed method can reach 71 dB. The CC value without attack can reach a perfect value of 1 and BER = 0. The highest attack test result is CC = 1 on the filtering attack. From the various tests we have conducted, it has been proven that the DCT-DWT is more imperceptive and robust than previous studies

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Non-Blind Robust and Impercept Watermarking Using Discrete Cosine Transform and Discrete Wavelet Transform

Rachmawanti

Santoso

2021

KINETIK

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“…The most commonly used frequency domain in image watermarking research is DCT and DWT [11][12][13][14]. In the image watermarking method, the combination of DCT and DWT have proved that the method can generate better results than the use of one transformation only [15][16][17][18]. This is caused by each transformation has its own advantages.…”

Section: Introductionmentioning

confidence: 99%

Image watermarking using discrete wavelet-tchebichef transform

Setyono

Setiadi

2019

IJEECS

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<span>Image watermarking is one of the most popular techniques for authenticating copyright on the digital image. Many research on image watermarking has proved that the joint of Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) combinations can improve both imperceptibility and robustness when compared to DCT or DWT only. Discrete Tchebichef Transform (DTT) denotes an alternative transformation that has a similarity property with DCT. DTT has an advantage in reducing memory requirements during computing, so the calculation speed is much faster than DCT. This study tested the performance of DTT and DCT on non-blind image watermarking method, where DTT and DCT are performed after DWT. Based on the experimental results, this research proved that the DTT was combined successfully with DWT and very potential for further investigation because it has a computing performance much better than DCT. While the image watermarking quality, both the imperceptibility and robustness aspects were completely identical with the combination of DCT and DWT transformation.</span>

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“…Different transforms can be used in order to decompose images in the frequency domain, such as discrete Fourier transform (DFT) [4], discrete cosine transform (DCT) [5], or discrete wavelet transform (DWT) [6]. DWT transform has more benefits compared to the other aforementioned transforms.…”

Section: Introductionmentioning

confidence: 99%

A new approach for digital image watermarking to predict optimal blocks using artificial neural networks

Movaghar¹,

Bizaki²

2017

Turk J Elec Eng & Comp Sci

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Abstract:In this paper, we propose a novel nonblind digital image watermarking based on discrete wavelet transform and singular value decomposition. This robust scheme takes advantage of artificial neural networks for selecting suitable image blocks in which the watermark signal can be embedded. Local characteristics of the blocks such as luminance and texture sensitivity are the main criteria that the selections are based on. Generally, selection is based on a prediction of the results with the objective of transparency and watermark resilience. In other words, before embedding the water mark signal, it is estimated which blocks would be the best for embedding the signals to achieve the desired robustness and quality. Simulation results confirm the superiority of the proposed scheme in terms of the transparency of the images as well as robustness under various kinds of attacks.

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A secure non-blind block based digital image watermarking technique using DWT and DCT

Cited by 16 publications

References 12 publications

A Non-Blind Robust and Impercept Watermarking Using Discrete Cosine Transform and Discrete Wavelet Transform

A Non-Blind Robust and Impercept Watermarking Using Discrete Cosine Transform and Discrete Wavelet Transform

Image watermarking using discrete wavelet-tchebichef transform

A new approach for digital image watermarking to predict optimal blocks using artificial neural networks

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