Audio, Text, Image, and Video Digital Watermarking Techniques for Security of Media Digital

The proliferation of multimedia content as digital media assets, encompassing audio, text, images, and video, has led to increased risks of unauthorized usage and copyright infringement. Online piracy serves as a prominent example of such misuse. To address these challenges, watermarking techniques have been developed to protect the copyright of digital media while maintaining the integrity of the underlying content. Key characteristics evaluated in watermarking methods include capability, privacy, toughness, and invisibility, with robustness playing a crucial role. This paper presents a comparative analysis of digital watermarking methods, highlighting the superior security and effective watermark image recovery offered by singular value decomposition. The research community has shown significant interest in watermarking, resulting in the development of various methods in both the spatial and transform domains. Transform domain approaches such as Discrete Cosine Transform, Discrete Wavelet Transform, and Singular Value Decomposition, along with their interconnections, have been explored to enhance the effectiveness of digital watermarking methods

Spread spectrum-based video watermarking algorithms for copyright protection

Merged with duplicate record 10026.1/2263 on 14.03.2017 by CS (TIS)Digital technologies know an unprecedented expansion in the last years. The consumer can now benefit from hardware and software which was considered state-of-the-art several years ago. The advantages offered by the digital technologies are major but the same digital technology opens the door for unlimited piracy. Copying an analogue VCR tape was certainly possible and relatively easy, in spite of various forms of protection, but due to the analogue environment, the subsequent copies had an inherent loss in quality. This was a natural way of limiting the multiple copying of a video material. With digital technology, this barrier disappears, being possible to make as many copies as desired, without any loss in quality whatsoever. Digital watermarking is one of the best available tools for fighting this threat. The aim of the present work was to develop a digital watermarking system compliant with the recommendations drawn by the EBU, for video broadcast monitoring. Since the watermark can be inserted in either spatial domain or transform domain, this aspect was investigated and led to the conclusion that wavelet transform is one of the best solutions available. Since watermarking is not an easy task, especially considering the robustness under various attacks several techniques were employed in order to increase the capacity/robustness of the system: spread-spectrum and modulation techniques to cast the watermark, powerful error correction to protect the mark, human visual models to insert a robust mark and to ensure its invisibility. The combination of these methods led to a major improvement, but yet the system wasn't robust to several important geometrical attacks. In order to achieve this last milestone, the system uses two distinct watermarks: a spatial domain reference watermark and the main watermark embedded in the wavelet domain. By using this reference watermark and techniques specific to image registration, the system is able to determine the parameters of the attack and revert it. Once the attack was reverted, the main watermark is recovered. The final result is a high capacity, blind DWr-based video watermarking system, robust to a wide range of attacks.BBC Research & Developmen

ANALISA DAN SIMULASI VIDEO WATERMARKING DENGAN METODE SCENE CHANGE DETECTION BERBASIS DISCRETE WAVELET TRANSFORM

ABSTRAKSI: Dengan pesatnya perkembangan internet dan sistem multimedia, distribusi dan penggandaan ilegal pada video digital telah menjadi semakin mudah. Oleh karena itu video yang disebarluaskan perlu diproteksi untuk menghindari masalah penyalahgunaan hak cipta. Solusi dari masalah ini adalah dengan menandai video digital dengan suatu watermark yang aman, tidak terlihat, dan tahan terhadap serangan pemrosesan sinyal video pada umumnya. Video watermarking merupakan salah satu sistem untuk melindungi hak cipta dengan cara menyisipkan data ke dalam video. Data yang disisipkan disebut dengan watermark, dimana watermark ini nantinya akan digunakan untuk otentikasi kepemilikan. Data yang disisipkan dapat berupa teks, citra, audio, maupun video. Pada tugas akhir ini dilakukan simulasi video watermarking dengan menggunakan scene change detection dan Discrete Wavelet Transform. Metode scene change detection merupakan metode untuk mendeteksi adanya perubahan scene pada video dengan melihat kemiripan antara frame-frame yang berurutan. Masing-masing frame pada tiap scene ditransformasikan ke domain wavelet dengan Discrete Wavelet Transform (DWT). Simulasi pada tugas akhir ini menggunakan sistem blind watermarking dimana dalam mendapatkan kembali watermark yang disisipkan tidak dibutuhkan data asli. Dari pengujian yang dilakukan, kualitas video watermarking dengan faktor skala 0.03 setelah disisipkan watermark memiliki PSNR yang paling tinggi yaitu 61.580 dB untuk watermark citra dan 54.613 dB untuk watermark video. Sedangkan kualitas ekstraksi untuk otentikasi didapatkan PSNR tertinggi sebesar 24.694 dB untuk watermark citra dengan faktor skala 0.3 dan 17.75 dB untuk watermark video. Berdasarkan penilaian MOS, kualitas video hasil watermarking tergolong sangat baik dan kualitas ekstraksi untuk otentikasi sebesar 4.65 untuk watermark citra dan 4.3 untuk watermark video.Kata Kunci : video watermarking, DWT, Scene Change Detection.ABSTRACT: With the rapid development of internet and multimedia systems, the distribution and multiplication of illegal digital video has become easier. Therefore, the video that is distributed need to be protected to avoid abuse of copyright issues. Solution of this problem is to mark the video with a digital watermark which are safe, invisible, and resistant to the video signal processing attack in general. Video watermarking is one of the system to protect copyright in a way to insert data into the video. Data that is inserted to the video is called watermark, where this watermark that will be used to do an authentication of video ownership. Data that is inserted to the video could be in a form of text, audio, and even video. At this final task, video watermarking using scene change detection and Discrete Wavelet Transform has been simulated. Scene change detection method is a method to detect a change in the scene with the video to see similarities between frame sequences. Each frame in each scene transformed to the wavelet domain with the Discrete Wavelet Transform (DWT). Watermark is divided into several parts where the parts are inserted into the frame on a different scene. Simulation on this final task using blind watermarking system in which to get back watermark, original data is unneeded. Based on the simulation, the quality of video watermarking using scaling factor 0.03 has the highest PSNR which is 61.580 dB for image watermark and 54.613 dB for video watermark. Meanwhile, the quality of watermark extraction to authentication has the highest PSNR which is 24.794 dB for image watermark using scaling factor 0.3 and 17.75 dB for video watermark. Based on MOS evaluation, the quality of video watermarking is excellent and the quality of extraction to authentication is 4.65 for image watermark and 4.3 for video watermark.Keyword: video watermarking, DWT, Scene Change Detection