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- W3211132990 abstract "To maintain the relationship between robustness and imperceptibility is very challenging for conventional digital watermarking methods. The proposed digital image watermarking algorithm efficiently manages the value of robustness and imperceptibility. The proposed algorithm has applied the lifting wavelet transform to extract the features from the source image and symbol image. The LWT transform overcomes the limitation of the wavelet transform. The proposed algorithm focusses on pattern-based embedding process involved in the watermark. For the generation and formation of pattern, stack-based ensemble classifier has been applied. The stack-based ensemble classifier is derived in two-stage, and it uses three classifiers, such as SVM, KNN and DT. The glowworm swarm optimization is applied to the symbol image in order to select an optimal coefficient for the embedding process. The proposed algorithm is then simulated in MATLAB software, and further the parameters such as PSNR, NC, SSIM and BER are measured. The proposed algorithm is compared with DWT-SVD and SVM. From the results, it is observed that the proposed algorithm is better than the existing digital image watermarking algorithms." @default.
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- W3211132990 date "2021-10-26" @default.
- W3211132990 modified "2023-10-18" @default.
- W3211132990 title "Robust Image Watermarking Using LWT Transform and Stacking Ensemble Classifier" @default.
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- W3211132990 doi "https://doi.org/10.1007/978-981-16-5301-8_45" @default.
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