An adaptive HVS based video watermarking scheme for multiple watermarks using BAM neural networks and fuzzy inference system
作者：
Highlights：
• Multi-BAM-FUZ scheme, achieves multiple watermarking systems by embedding the BAM weight matrix.
• The adaptive nature of α computes using Fuzzy for every frame improves imperceptibility.
• This gives the NCC value of 1.00 and BCR value of 0.99, which is suitable for the content sensitive applications.
• In addition to fidelity and robustness, this also achieves a higher payload capacity of 2000 images.
摘要
•Multi-BAM-FUZ scheme, achieves multiple watermarking systems by embedding the BAM weight matrix.•The adaptive nature of α computes using Fuzzy for every frame improves imperceptibility.•This gives the NCC value of 1.00 and BCR value of 0.99, which is suitable for the content sensitive applications.•In addition to fidelity and robustness, this also achieves a higher payload capacity of 2000 images.
论文关键词：Video watermarking,Multiple watermarks,Bidirectional associative memory,Fuzzy inference system,HVS,DWT,Adaptive embedding strength,Imperceptibility,Robustness,Payload
论文评审过程：Received 25 May 2015, Revised 22 October 2015, Accepted 12 May 2016, Available online 13 May 2016, Version of Record 22 July 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.05.019
