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An Efficient Watermarking Approach Based on LL and HH Edges of DWT-SVD.

Fauzia YasmeenMohammad Shorif Uddin
Published in: SN computer science (2021)
Digital watermarking is playing a vital role in the improvement of authentication, security, and copyright protection in today's digital transformation. The performance of this technique is shown to be impressive around the globe. Text, audio, video, and image data are acted as watermarks in the digital platform. In this article, a hybrid watermarking scheme is proposed to furnish the robustness and protection of digital data. This hybrid scheme is a form of discrete wavelet transform (DWT) and singular value decomposition (SVD). The embedding and extracting features are carried out through multi-level operations of DWT and SVD. Various attacks are added to the proposed method to justify the robustness of the watermark. In the end, the suggested approach is contrasted with existing methods to confirm the supremacy.
Keyphrases
  • electronic health record
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  • public health
  • convolutional neural network
  • global health
  • single cell