Title :
An additive image watermarking method based on Particle Swarm Optimization
Author :
Naffouti, Seifeddine ; Homri, Hayet ; Sakly, Anis ; Mtibaa, Abdellatif
Author_Institution :
Nat. Sch. of Eng. of Monastir, Univ. of Monastir, Monastir, Tunisia
Abstract :
Many researchers were used the additive method of digital watermarking images which we quote for example Anuradha and Rudresh Pratap Singh (2006) [1]. However, this paper proposes an additive watermarking method by invoking Particle Swarm Optimization (PSO) technique in wavelet domain to improve this scheme of watermarking. To avoid that the watermarking lose its robustness and imperceptibility and extract the watermark under the perfect performance, PSO is fused with the method proposed in [1] which used to insert the watermark in the approximation subband LL3 and which did not apply any type of image processing in order to show its reliability against various types of attacks, except that they show its PSNR after watermarking. In this paper, the main focused on watermarking is that all coefficients are selected from the LH3 subband of watermark to embed it in the same subband of the original image. Result analysis shows that the proposed algorithm certainly outperforms the additive method which doesn´t use PSO and the appropriate decomposition level.
Keywords :
approximation theory; image watermarking; particle swarm optimisation; wavelet transforms; PSO technique; additive image watermarking method; approximation subband; digital watermarking images; image processing; particle swarm optimization; wavelet domain; Additives; Computers; Discrete wavelet transforms; PSNR; Particle swarm optimization; Robustness; Watermarking; PSO; additive; watermarking; wavelet;
Conference_Titel :
Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2013 14th International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-2953-5
DOI :
10.1109/STA.2013.6783178