A time-efficient optimization for robust image watermarking using machine learning

作者：

Highlights：

• An efficient approach for optimizing image watermarking is proposed.

• Machine learning is utilized to solve the optimization time consumption problem.

• New robust watermarking method is presented.

• Embedding parameter is optimized in terms of watermarking quality and robustness.

• The K-NN regression method is used for predicting the optimum value.

摘要

•An efficient approach for optimizing image watermarking is proposed.•Machine learning is utilized to solve the optimization time consumption problem.•New robust watermarking method is presented.•Embedding parameter is optimized in terms of watermarking quality and robustness.•The K-NN regression method is used for predicting the optimum value.

论文关键词：Meta-heuristic optimization,Machine learning,Robust image watermarking,Discrete Cosine Transform,Artificial Bee Colony,K-Nearest Neighborhood

论文评审过程：Received 21 October 2017, Revised 31 January 2018, Accepted 1 February 2018, Available online 6 February 2018, Version of Record 16 February 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.02.002