MantaRayWmark: An image adaptive multiple embedding strength optimization based watermarking using Manta Ray Foraging and bi-directional ELM
作者：
Highlights：
• MantaRayWmark is a multiple embedding strength (MES) based watermarking scheme.
• Used manta ray foraging optimization (MRFO) to optimize the locally relevant MES.
• For a time-efficient watermarking, MantaRayWmark exploited B-ELM to learn the MES.
• Proposed Convolution Neural Network based geometric correction scheme.
• It outperforms others in terms of imperceptibility, robustness and time-efficiency.
摘要
•MantaRayWmark is a multiple embedding strength (MES) based watermarking scheme.•Used manta ray foraging optimization (MRFO) to optimize the locally relevant MES.•For a time-efficient watermarking, MantaRayWmark exploited B-ELM to learn the MES.•Proposed Convolution Neural Network based geometric correction scheme.•It outperforms others in terms of imperceptibility, robustness and time-efficiency.
论文关键词：Manta Ray Foraging Optimization,Bi-directional ELM,Dual-Tree Complex Wavelet Transform,Multiple Embedding Strength,Singular Value Decomposition,Geometric Correction
论文评审过程：Received 22 October 2021, Revised 23 January 2022, Accepted 8 March 2022, Available online 24 March 2022, Version of Record 30 March 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.116860
