TY - JOUR
T1 - 数字图像多功能水印综述
AU - Zhao, Lei
AU - Gui, Xiaolin
AU - Shao, Yiyang
AU - Dai, Huijun
N1 - Publisher Copyright:
© 2024 Institute of Computing Technology. All rights reserved.
PY - 2024/2
Y1 - 2024/2
N2 - Multipurpose image watermarking aims to provide two or more image protection functionalities by embedding various types of watermarks into the same image, including capabilities of copyright protection, content authentication, and tampered recovery. But it still faces challenges in terms of performance and application scenarios nowadays. To promote the study of multipurpose image watermarking, this paper reviews digital image watermarking first, covering its system characteristics, classifications, key technologies, achievable functions, and application scenarios. Furthermore, multipurpose image watermarking methods developed in the past decade are compared and analyzed in terms of fusion-watermark embedding, zero-watermark embedding, serial-watermark embedding, and parallel-watermark embedding. Finally, the future research prospects and development trends are discussed. It is important to note that embedding multiple watermarks results in performance losses in most cases, and further improvements are needed to enhance its effectiveness in real-world application scenarios. Leveraging artificial intelligence techniques in image multipurpose watermarking holds the promising potential to enhance performance.
AB - Multipurpose image watermarking aims to provide two or more image protection functionalities by embedding various types of watermarks into the same image, including capabilities of copyright protection, content authentication, and tampered recovery. But it still faces challenges in terms of performance and application scenarios nowadays. To promote the study of multipurpose image watermarking, this paper reviews digital image watermarking first, covering its system characteristics, classifications, key technologies, achievable functions, and application scenarios. Furthermore, multipurpose image watermarking methods developed in the past decade are compared and analyzed in terms of fusion-watermark embedding, zero-watermark embedding, serial-watermark embedding, and parallel-watermark embedding. Finally, the future research prospects and development trends are discussed. It is important to note that embedding multiple watermarks results in performance losses in most cases, and further improvements are needed to enhance its effectiveness in real-world application scenarios. Leveraging artificial intelligence techniques in image multipurpose watermarking holds the promising potential to enhance performance.
KW - content authentication
KW - copyright protection
KW - digital image watermarking
KW - multipurpose watermark
KW - tampered recovery
UR - https://www.scopus.com/pages/publications/85191559738
U2 - 10.3724/SP.J.1089.2024.20078
DO - 10.3724/SP.J.1089.2024.20078
M3 - 文章
AN - SCOPUS:85191559738
SN - 1003-9775
VL - 36
SP - 195
EP - 222
JO - Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics
JF - Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics
IS - 2
ER -