.png){kind=icon}
返回
A novel watermarking method based on differential evolutionary algorithm and wavelet transform
.png){kind=icon}
PRE
AI
DOI：10.1007/s11042-019-08455-7.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, a new Watermarking method based on the optimization framework and discrete wavelet transform (DWT) is presented. In this method, first, the watermark image is divided into several blocks. Then, using differential evolution (DE) algorithm, an appropriate location for each of these blocks is found in the cover image. In the proposed method, the results of the DE algorithm, which is needed for the reconstruction phase are also embedded as a vector in the cover image under the wavelet domain. Also, to achieve the highest PSNR in the reconstruction phase, the optimal values for Alpha-blending coefficients (used in the embedding and extraction process) are determined with the multi-objective DE-based optimization algorithm. Several experiments are presented to illustrate the imperceptibility and robustness of the proposed algorithm against different types of attacks, including salt and pepper, Gaussian, median filtering, rescaling, compression, and rotation. The obtained results are also compared with state-of-the-art methods and show the superiority of the proposed method in most cases.
Keyword:
Watermarking
Optimization
DE algorithm
DWT
Authentication
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3
论文数:
1.9W
被引数:
3.2W
机构
引用论文
分享收藏A Robust Image Watermarking Technique With an Optimal DCT-Psychovisual Threshold.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏分享收藏
查看更多内容