Robust image watermarking using the social group optimization algorithm

Autor:	K. Prasuna, B. Prabha, Sai Sri Vatsav, Dilip Golda, Sowmika Adepu, K. Murali
Rok vydání:	2023
Předmět:	Computer science business.industry Data_MISCELLANEOUS Pattern recognition Watermark General Medicine Image (mathematics) Transformation (function) Wavelet Singular value decomposition Embedding Artificial intelligence MATLAB business computer Digital watermarking computer.programming_language
Zdroj:	Materials Today: Proceedings. 80:2819-2823
ISSN:	2214-7853
DOI:	10.1016/j.matpr.2021.07.045
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ebeee2b823a3fe91c4c5c51bfe7f3b10 https://doi.org/10.1016/j.matpr.2021.07.045 Zobrazit plný text záznamu Full Text from ScienceDirect