A DCT Domain Image Watermarking Method Based on Matlab

Wu, Hejing

doi:10.21307/ijanmc-2017-008

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…The DCT watermark is more durable than watermarking techniques used in space. The DCT divides an image into various frequency bands, making it much simpler to insert watermarking information in the image's frequency bands [2]. The most popular DCT description of N-dimensional 1-D sequence is [14]:…”

Section: Discreet Cosine Transformationmentioning

confidence: 99%

An Image Watermarking Technique Proposed Based on Discrete Cosine Transformation and Pseudo-Random Generator

Shakir Baawi,

Mahdi Hashim,

Kamil Hilal

2021

JEPS

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The proposed technique to embed an image watermark in a host image depends on the discrete cosine transform and the Geffe algorithm in this search. The proposed algorithm uses the Geffe algorithm for encryption of the watermark. Discrete cosine transform (DCT) coefficients are then computed by dividing the host image into non-overlapped 8x8 blocks. The performance evaluation of the suggested technique was conducted using the peak signal-to-noise ratio for watermark 64x64 and 512x512 host images: Lena, Cameraman, and Pepper images give similar results. This technique does not require a host image in the watermark extraction process, then also watermark is extracted completely and better than its counterparts available

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Section: Discreet Cosine Transformationmentioning

confidence: 99%

An Image Watermarking Technique Proposed Based on Discrete Cosine Transformation and Pseudo-Random Generator

Shakir Baawi,

Mahdi Hashim,

Kamil Hilal

2021

JEPS

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“…The method has a PSNR of 101.97 and NCC of 0.9780. In 2017, Jing [23] delivered a digital image watermarking algorithm which is based on DCT transform and Arnold scrambling. The algorithm can be well applied with the quality factor 70% and NC equal to 1.…”

Section: Introductionmentioning

confidence: 99%

Digital watermarking image using three-level discrete wavelet transform under attacking noise

et al. 2022

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The authentication, identification, and copyright protection can be obtained by constructing the digital image watermarking technique. Watermark robustness and imperceptibility account for the capability of the hidden watermark to survive the manipulation. The proposed paper is a robust algorithm for digital image watermarking with 3-level discrete wavelet transform (DWT) with some attacks method. The 3-level DWT method was used constants α=0.01 and 0.03 as a function of how depth the watermark inserts to the host image in the insertion and extraction process. The algorithm was evaluated using 8 bits per pixel (bpp) grayscale, 1024x1024 pixels for the host image, and 256x256 pixels for the watermark image. The method is also implemented some experimental with attacks such as gaussian, salt and pepper, blurring, and compression. The algorithm is relatively acceptable of good quality, achieves low-value mean squared error (MSE), high peak signals to noise ratio (PSNR), and structural similarity index metric (SSIM) value approach to 1. It is found that the highest image quality measurements by using α=0.03 with the attacking method of salt and pepper yield MSE=0.01, PSNR=45.6 dB and SSIM=0.95, respectively.

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