Robust image watermarking using the social group optimization algorithm

被引：0

作者：

Golda D. ^{[1
]}

Prabha B. ^{[2
]}

Murali K. ^{[3
]}

Prasuna K. ^{[3
]}

Sri Vatsav S. ^{[4
]}

Adepu S. ^{[5
]}

机构：

[1] Dept. of CSE, SRM Institute of Science And Technology, Vadapalani Campus, Chennai

[2] Dept. of CSE, Koneru Lakshmaiah Education Foundation, Guntur

[3] Dept. of ECE, Vijaya Institute of Technology for Women, Vijayawada

[4] National Institute of Technology Mizoram, Chaltlang, Mizoram, Aizawl

[5] CMR Technical Campus, CMRTC, Kandlakoya (V), Medchal Road, Hyderabad

来源：

Materials Today: Proceedings | 2023年 / 80卷

关键词：

DWT; Evolutionary computing tools; SGOA; SVD; Watermarking;

D O I：

10.1016/j.matpr.2021.07.045

中图分类号：

学科分类号：

摘要：

Watermarking images is essential for several reasons like security, validation etc. The extracted watermark should have similar characteristics as that of the watermark image embedded during the watermarking process. Also, it is important that the watermark image should not differ the features of the host image after embedding. In order conceive this features, it is important to have a technique of watermarking. In this paper, such an attempt has been made to incorporate the novel techniques of watermarking using single value decomposition (SVD), discrete wavelet transformation (DWT) and social group optimization algorithm (SGOA). The simulation-based experiment has been carried out to evaluate the performance of the technique in terms of structural similarity index (SSI). The Matlab environment is used for the simulations. © 2021

引用

页码：2819 / 2823

页数：4

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