Robust block-based watermarking algorithm with parallelization using multi-level discrete wavelet transformation

In today’s digital era, the need to safeguard the authenticity and ownership of media content shared online via social networking sites and apps has become increasingly crucial. Digital watermarking emerges as a viable solution to address this need by providing authentication and ownership verificat...

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Vydané v:Journal of real-time image processing Ročník 21; číslo 6; s. 182
Hlavní autori: Yadav, Akash, Goyal, Jitendra, Ahmed, Mushtaq
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2024
Springer Nature B.V
Predmet:
Algorithms
Approximation
Computer Graphics
Computer Science
Copyright
Cryptography
Decomposition
Digital imaging
Digital media
Digital watermarking
Digital watermarks
Discrete Wavelet Transform
Efficiency
Evaluation
Fourier transforms
Image enhancement
Image Processing and Computer Vision
Image quality
Mathematical functions
Methods
Multimedia
Multimedia Information Systems
Noise levels
Noise measurement
Ownership
Parallel processing
Pattern Recognition
Performance evaluation
Robustness (mathematics)
Signal processing
Signal quality
Signal to noise ratio
Signal,Image and Speech Processing
Social networks
Wavelet transforms
Imperceptibility
Robustness
Discrete wavelet transform
Parallelization
Digital watermarking
ISSN:1861-8200, 1861-8219
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Popis
Shrnutí:In today’s digital era, the need to safeguard the authenticity and ownership of media content shared online via social networking sites and apps has become increasingly crucial. Digital watermarking emerges as a viable solution to address this need by providing authentication and ownership verification of digital media. Various watermarking techniques have been proposed in spatial and transformation domains, with ongoing efforts to enhance robustness against common watermarking attacks, such as filtering, noise, and transformations. In this paper, we introduce a novel block-based parallelized watermarking method. Our proposed approach hides binary watermarks within grayscale images by employing multi-level discrete wavelet transformation on image blocks in parallel. A pixel scramble mechanism is also employed to strengthen security measures. The effectiveness of the proposed method is evaluated using three quality metrics: structural similarity index measure and peak signal-to-noise ratio to assess the imperceptibility of watermarked images and normalized correlation to evaluate the robustness of our approach against standard watermarking attacks. Experimental results show that our method achieves high PSNR values of up to 48.63 dB and SSIM values above 0.99, indicating excellent imperceptibility. Additionally, NC values close to 1.0 across various attack scenarios demonstrate superior robustness compared to existing methods.
Bibliografia:ObjectType-Article-1
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ISSN:1861-8200
1861-8219
DOI:10.1007/s11554-024-01559-w