الفهرس Only 14 pages are availabe for public view
 |  | from | 174 |  |  |
| | | from | 174 | | |
Abstract
The basic principle of watermarking approaches is to add copyright information into a multimedia object, with the aim of broadcast monitoring, access control, copyright protection etc. The object may be 2D image, 3D image, video or audio. Two important and con{uFB02}icting requirements in watermarking system are perceptual transparency and robustness. The work on this thesis aims to develop a watermarking system using Bio- Inspired optimization techniques. Although there are many proposed approaches of watermark insertion and extraction either in spatial or frequency domain, but most of these methods had a limitation of enhancing either robustness or invisibility. The main objective of the thesis is devolving a watermarking system that considers wa- termarking problem as an optimization problem. This work propose a watermarking system by utilizing the use of Bio-Inspired techniques such as neural network, Genetic algorithm, and swarm intelligent in optimizing watermarking approaches for both 2D images and 3D images. Digital watermarking of 3D objects remains a challenging prob - lem. One of the reasons is the fact that there is no unique representation of 3D objects