A DWT-SVD based adaptive color multi-watermarking scheme for copyright protection using AMEF and PSO-GWO

作者：

Highlights：

• We propose a novel algorithm to define the embedding regions and embedding strengths.

• Embedding strengths are optimized using a hybrid optimization algorithm.

• The cost function assures a pre-defined invisibility while maximizing robustness.

• The proposed scheme achieves all requirements and outperforms the existing methods.

• This scheme is applicable to the copyright protection for multi-watermarking.

摘要

•We propose a novel algorithm to define the embedding regions and embedding strengths.•Embedding strengths are optimized using a hybrid optimization algorithm.•The cost function assures a pre-defined invisibility while maximizing robustness.•The proposed scheme achieves all requirements and outperforms the existing methods.•This scheme is applicable to the copyright protection for multi-watermarking.

论文关键词：Color multi-watermarking,Adaptive multiple embedding factors (AMEF),Hybrid particle swarm optimization and grey wolf optimizer (PSO-GWO) algorithm,Discrete wavelet transform (DWT),Singular value decomposition (SVD)

论文评审过程：Received 14 July 2019, Revised 24 October 2020, Accepted 28 November 2020, Available online 5 December 2020, Version of Record 16 December 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114414