A novel multiple objective optimized color watermarking scheme based on LWT-SVD domain using nature based Bat Algorithm and Firefly algorithm

Sejpal, Shveti; Shah, Nikesh

doi:10.1109/icaecct.2016.7942552

Cited by 8 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, the proposed scheme was compared to recent works with different embedding domains such as the Haar transformation domain, 40 the Lifting Wavelet Transform (LWT), 41 and a combination of DWT, DCT and SVD 42 . Furthermore two optimization based algorithm was also used in comparison, the first one is based on back propagation neural network 43 and the latter on the Cuckoo search algorithm 44 …”

Section: Resultsmentioning

confidence: 99%

Robust image watermarking in DCT domain using optimal inter‐block difference

Kricha

Sakly

2023

Concurrency and Computation

View full text Add to dashboard Cite

SummaryRobust watermarking provides valuable solutions to protect the copyright and secure digital images. In this paper, a robust and transparent watermarking scheme in the discrete cosine transform (DCT) domain is presented. The watermark is embedded into the difference of two adjacent DCT coefficients located at the same frequency. The embedding process involves optimal selection of adjacent blocks and DCT coefficients positions. For a given DCT block, the optimal selection is to find the coefficient with the lowest DCT frequency that requires the minimal variation to represent the target watermark bit. To insert the watermark, a new quantization index modulation (QIM) based method with irregular distance between continuous quantizers is employed. The performance of the proposed scheme was extensively evaluated using 12 benchmark images and a total of more than 90 attacks per image grouped into nine attack types including JPEG compression, filtering and noise contamination. Furthermore, robustness comparison with state‐of‐the‐art works was conducted, and the results demonstrate the superiority of the proposed scheme in terms of imperceptibility and robustness.

show abstract

Section: Resultsmentioning

confidence: 99%

Robust image watermarking in DCT domain using optimal inter‐block difference

Kricha

Sakly

2023

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…Numerous hybrid methods, including the use of various algorithms inspired by nature, have been employed by researchers to successfully embed watermarks. The watermarking of color photographs with a combination of the bat method and the firefly algorithm was presented in [50]. A second DCT-based watermarking system was described in [51], which employed the PSO algorithm to find the optimal strength factor value.…”

Section: Literature Reviewmentioning

confidence: 99%

Advanced Dipper-Throated Meta-Heuristic Optimization Algorithm for Digital Image Watermarking

et al. 2022

View full text Add to dashboard Cite

Recently, piracy and copyright violations of digital content have become major concerns as computer science has advanced. In order to prevent unauthorized usage of content, digital watermarking is usually employed. This work proposes a new approach to digital image watermarking that makes use of the discrete cosine transform (DCT), discrete wavelet transform (DWT), dipper-throated optimization (DTO), and stochastic fractal search (SFS) algorithms. The proposed approach involves computing the discrete wavelet transform (DWT) on the cover image to extract its sub-components, followed by the performance of a discrete cosine transform (DCT) to convert these sub-components into the frequency domain. Finding the best scale factor for watermarking is a significant challenge in most watermarking methods. The authors used an advanced optimization algorithm, which is referred to as DTOSFS, to determine the best two parameters—namely, the scaling factor and embedding coefficient—to be used while inserting a watermark into a cover image. Using the optimal values of these parameters, a watermark image can be inserted into a cover image more efficiently. The suggested approach is evaluated in comparison with the current gold standard. The normalized cross-correlation (NCC), peak-signal-to-noise ratio (PSNR), and image fidelity (IF) are used to measure the success of the proposed approach. In addition, a statistical analysis is performed to evaluate the significance and superiority of the proposed approach. The experimental results confirm the effectiveness of the proposed approach in improving upon standard watermarking methods based on the DWT and DCT. Moreover, a set of attacks is considered to study the robustness of the proposed approach, and the results confirm the expected outcomes. It is shown by the achieved results that the proposed approach can be utilized for practical digital image watermarking, and that it significantly outperforms other digital image watermarking methods.

show abstract

Literature Review of Various Nature-Inspired Optimization Algorithms Used for Digital Watermarking

Garg

Kishore

2020

Computational Methods and Data Engineering

View full text Add to dashboard Cite

A novel multiple objective optimized color watermarking scheme based on LWT-SVD domain using nature based Bat Algorithm and Firefly algorithm

Cited by 8 publications

References 6 publications

Robust image watermarking in DCT domain using optimal inter‐block difference

Robust image watermarking in DCT domain using optimal inter‐block difference

Advanced Dipper-Throated Meta-Heuristic Optimization Algorithm for Digital Image Watermarking

Literature Review of Various Nature-Inspired Optimization Algorithms Used for Digital Watermarking

Contact Info

Product

Resources

About