![]() Video Watermarking Techniquesĭigital video is a sequence of still images called frames and these frames are loaded by a constant rate called frame rate. Simulation results and discussions are given in Section 5 and finally the conclusion and the references are included. The proposed video multiple watermarking technique is presented in Section 4. The based techniques which the proposed method depends on are illustrated in Section 3. A brief review of video watermarking techniques is presented in Section 2. In this paper, video watermarking and multiple watermarks in different types (gray image, color image, and video) have been introduced. So, a solution for this problem is a more important issue in video watermarking.Ī proposed image watermarking technique based on image interlacing has been used to solve the memory capacity and communications bandwidth problems of the nonblind watermarking systems the target system was image watermarking system with a single watermark (color image as host and gray image as watermark). The previous problems of the nonblind watermarking have a more effect on video watermarking systems. Video watermarking system has more capacity than image watermarking system, so more watermarks that included images and videos can be embedded in the video watermarking system (as proposed in this paper). So, video watermarking can be considered as an expansion of image watermarking. But also this definition presents the main problem of the nonblind watermarking systems: double overhead over system resources like memory/storage in both sender and receiver and bandwidth on the communications channel between them.ĭigital video can be defined simply as a collection of sequential images. From this definition, the two advantages in nonblind watermarking techniques over the blind ones are as follows: first, being lower in computational complexity and second more robustness against attacks or signal distortions because the extracted watermark is more similar to the original one. In the nonblind watermarking systems, as shown in Figure 1, the original media is required in addition to the watermarked media in the watermark extracting process, while in blind watermarking the original media is not required in the watermark extracting process. Also, digital watermarking is classified according to the number of watermarks per the host media file into two types: single and multiple watermarking.ĭigital watermarking systems are also categorized according to the watermark extracting process into two types: nonblind and blind watermarking. The watermark may be in a noise form such as Pseudo-random Gaussian noise, or in a data form such as text, image (logo), and video. ![]() So, digital watermarking is classified into four types: text watermarking, image watermarking, audio watermarking, and video watermarking. ĭigital media files may be text, images, audios, or videos. The watermark is embedded and extracted as per requirement to represent the ownership and/or the identity of multimedia. This information is embedded in multimedia content, taking care of robustness and imperceptibly. A watermark is secret information about origin, ownership, copy control, and so forth. Digital watermarking protects the illegal copying of multimedia. So, there is a demand for techniques to protect the data and prevent unauthorized duplication. Introductionĭue to the rapid growth of computer and network technologies, digital multimedia are becoming more popular and it is very easy to transmit and distribute data. The simulation results show the effectiveness and good performance of the proposed technique in saving system resources, memory capacity, and communications bandwidth. The robustness of this technique is tested by applying different types of attacks such as: geometric, noising, format-compression, and image-processing attacks. In this technique, three-level discrete wavelet transform (DWT) is used as a watermark embedding/extracting domain, Arnold transform is used as a watermark encryption/decryption method, and different types of media (gray image, color image, and video) are used as watermarks. This technique is based on image interlacing. In this paper, a robust video multiple watermarking technique is proposed to solve this problem. In the nonblind watermarking systems, the need of the original host file in the watermark recovery operation makes an overhead over the system resources, doubles memory capacity, and doublesĬommunications bandwidth. Digital watermarking is one of the important techniques to secure digital media files in the domains of data authentication and copyright protection.
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