DS-DPSO: A dual surrogate approach for intelligent watermarking of bi-tonal document image streams

作者：

Highlights：

• A dual surrogate dynamic particle swarm optimization technique is proposed.

• Optimization of watermarking systems for heterogeneous document im- age streams.

• Proposed technique decreases the cost of re-optimization in memory-based PSO.

• Decrease of up to 93% in computational cost compared to full re- optimization.

摘要

•A dual surrogate dynamic particle swarm optimization technique is proposed.•Optimization of watermarking systems for heterogeneous document im- age streams.•Proposed technique decreases the cost of re-optimization in memory-based PSO.•Decrease of up to 93% in computational cost compared to full re- optimization.

论文关键词：Intelligent Watermarking,Evolutionary Computation,Particle Swarm Optimization,Surrogate-based Optimization,Gaussian Mixture Models

论文评审过程：Available online 31 March 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.03.021