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With the wide application of color images, watermarking for the copyright protection of color images has become a research hotspot. In this paper, a robust color image watermarking algorithm based on all phase discrete cosine biorthogonal transform (APDCBT) and shuffled singular value decomposition (SSVD) is proposed. The host image is transformed by the 8 × 8 APDCBT to obtain the direct current (DC) coefficient matrix, and then, the singular value decomposition (SVD) is performed on the DC matrix to embed the watermark. The SSVD and Fibonacci transform are mainly used at the watermark preprocessing stage to improve the security and robustness of the algorithm. The watermarks are color images, and a color quick response (QR) code with error correction mechanism is introduced to be a watermark to further improve the robustness. The watermark embedding and extraction processes are symmetrical. The experimental results show that the algorithm can effectively resist common image processing attacks, such as JPEG compression, Gaussian noise, salt and pepper noise, average filter, median filter, Gaussian filter, sharpening, scaling attacks, and a certain degree of rotation attacks. Compared with the color image watermarking algorithms considered in this paper, the proposed algorithm has better performance in robustness and imperceptibility.
Xiaoyan Yu; Chengyou Wang; Xiao Zhou. A Robust Color Image Watermarking Algorithm Based on APDCBT and SSVD. Symmetry 2019, 11, 1227 .
AMA StyleXiaoyan Yu, Chengyou Wang, Xiao Zhou. A Robust Color Image Watermarking Algorithm Based on APDCBT and SSVD. Symmetry. 2019; 11 (10):1227.
Chicago/Turabian StyleXiaoyan Yu; Chengyou Wang; Xiao Zhou. 2019. "A Robust Color Image Watermarking Algorithm Based on APDCBT and SSVD." Symmetry 11, no. 10: 1227.
With the rampancy of pirated videos, video watermarking for copyright protection has become a widely researched topic. In this paper, zero-watermarking is applied to videos for the first time to resist high efficiency video coding compression, which can improve the robustness of the watermarking algorithm and ensure the videos’ quality. A robust video zero-watermarking algorithm based on the discrete wavelet transform, the all phase biorthogonal transform, and singular value decomposition is proposed. Utilizing the properties of hybrid transforms, robust features can be extracted from videos, and robust zero-watermarks can be constructed. Experimental results demonstrate that the proposed algorithm has strong robustness to high efficiency video coding compression attacks with different quantization parameters. In addition, the algorithm can also resist common image processing attacks, geometric attacks, frame-based attacks, and hybrid attacks. Compared with existing video watermarking algorithms, the proposed algorithm can more accurately and completely reconstruct watermark images.
Xiaoyan Yu; Chengyou Wang; Xiao Zhou. A Hybrid Transforms-Based Robust Video Zero-Watermarking Algorithm for Resisting High Efficiency Video Coding Compression. IEEE Access 2019, 7, 115708 -115724.
AMA StyleXiaoyan Yu, Chengyou Wang, Xiao Zhou. A Hybrid Transforms-Based Robust Video Zero-Watermarking Algorithm for Resisting High Efficiency Video Coding Compression. IEEE Access. 2019; 7 (99):115708-115724.
Chicago/Turabian StyleXiaoyan Yu; Chengyou Wang; Xiao Zhou. 2019. "A Hybrid Transforms-Based Robust Video Zero-Watermarking Algorithm for Resisting High Efficiency Video Coding Compression." IEEE Access 7, no. 99: 115708-115724.
With the development and popularization of the Internet and the rise of various live broadcast platforms, digital videos have penetrated into all aspects of people’s life. At the same time, all kinds of pirated videos are also flooding the Internet, which seriously infringe the rights and interests of video copyright owners and hinder the healthy development of the video industry. Therefore, robust video watermarking algorithms for copyright protection have emerged as these times require. In this paper, we review robust video watermarking algorithms for copyright protection based on original videos and compressed videos. Basic models and properties of video watermarking algorithms are described, and the evaluation indexes corresponding to each property are also introduced. To help researchers understand various existing robust watermarking algorithms quickly, some basic information and the quantitative estimation of several performances are analyzed and compared. Finally, we discuss the challenges in the research of robust video watermarking algorithms, and give possible development directions for the future.
Xiaoyan Yu; Chengyou Wang; Xiao Zhou. A Survey on Robust Video Watermarking Algorithms for Copyright Protection. Applied Sciences 2018, 8, 1891 .
AMA StyleXiaoyan Yu, Chengyou Wang, Xiao Zhou. A Survey on Robust Video Watermarking Algorithms for Copyright Protection. Applied Sciences. 2018; 8 (10):1891.
Chicago/Turabian StyleXiaoyan Yu; Chengyou Wang; Xiao Zhou. 2018. "A Survey on Robust Video Watermarking Algorithms for Copyright Protection." Applied Sciences 8, no. 10: 1891.
With the popularity of network and the continuous development of multimedia technology, saving of network bandwidth and copyright protection of multimedia content have gradually attracted people’s attention. The fragile watermark for integrity authentication of image data and protection of copyright has become a hotspot. In the storage and transmission process, image data must be compressed to save network bandwidth. As a result, semi-fragile watermarking techniques, which can be used to distinguish common image processing operations from malicious tampering, are emerging. In this paper, semi-fragile watermarking algorithms for image authentication are surveyed. The basic principles and characteristics about semi-fragile watermarking algorithms are introduced, and several kinds of attack behaviors are also included. Aiming at several typical image-authentication algorithms, advantages and disadvantages are analyzed, and evaluation indexes of various algorithms are compared. Finally, we analyze the key points and difficulties in the study on semi-fragile watermarking algorithms, and the direction about future development is prospected.
Xiaoyan Yu; Chengyou Wang; Xiao Zhou. Review on Semi-Fragile Watermarking Algorithms for Content Authentication of Digital Images. Future Internet 2017, 9, 56 .
AMA StyleXiaoyan Yu, Chengyou Wang, Xiao Zhou. Review on Semi-Fragile Watermarking Algorithms for Content Authentication of Digital Images. Future Internet. 2017; 9 (4):56.
Chicago/Turabian StyleXiaoyan Yu; Chengyou Wang; Xiao Zhou. 2017. "Review on Semi-Fragile Watermarking Algorithms for Content Authentication of Digital Images." Future Internet 9, no. 4: 56.