Sayısal Filigranlama Algoritmasının FPGA Üzerinde Gerçeklenmesi

Abstract

With the widespread use of the Internet, the use of digital media data such as images, video, audio and text are also developing. In the internet environment, problems of copyright infringement, unauthorized modification or use of digital data arise. This technological development brings with it the necessity of verifying the authenticity of the data transmitted over digital networks and ensuring the robustness of the data. In this thesis, the digital watermarking method for solving problems such as unauthorized use of digital data, copyright infringement, preventing unauthorized copying and distribution, and preserving the originality of the data is discussed.

There are studies on watermark applications that can be applied in both hardware and software environments. The watermarking process with the software can be easily applied in the computer environment. However, this approach is sometimes slow and not suitable for real-time applications. At this point, FPGA applications, which are hardware solutions, have been realized. Digital watermarking methods are available to secure image, video, audio and text data. However, most studies are done on image data. There are very few watermarking processes on video in the literature. In this study, digital watermarking method applied especially on video is discussed. With this study we have done, it is aimed to obtain quality watermarked data by using only FPGA watermarking process over video, by applying better watermarking process.

In this study, it is aimed to design the most suitable digital watermarking method for hardware systems by investigating digital watermarking methods on image data in depth. Based on the results obtained from the analysis and research results, the method giving the best result was chosen as the discrete wavelet transform.

In this study, digital image watermarking techniques, applicability of the proposed method and working principle on hardware are shown. The results of the study show the applicability of the proposed method in areas based on real-time application.