TY - GEN
T1 - A robust image zero-watermarking using convolutional neural networks
AU - Fierro-Radilla, Atoany
AU - Nakano-Miyatake, Mariko
AU - Cedillo-Hernandez, Manuel
AU - Cleofas-Sanchez, Laura
AU - Perez-Meana, Hector
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - In the image zero-watermarking techniques, a watermark sequence is not physically embedded into the host image but has a logical linkage with the host image. This property of zero-watermarking is desirable for some kinds of images in which a minimum distortion may cause serious detection or diagnostic errors, such as medical images and remote sensing images. In this paper, we propose a robust zero-watermarking algorithm based on the Convolutional Neural Networks (CNN) and deep learning algorithm, in which robust inherent features of image is generated by the CNN, and it is combined with the owner's watermark sequence using XOR operation. The experimental results show the watermark robustness against several attacks and common image processing.
AB - In the image zero-watermarking techniques, a watermark sequence is not physically embedded into the host image but has a logical linkage with the host image. This property of zero-watermarking is desirable for some kinds of images in which a minimum distortion may cause serious detection or diagnostic errors, such as medical images and remote sensing images. In this paper, we propose a robust zero-watermarking algorithm based on the Convolutional Neural Networks (CNN) and deep learning algorithm, in which robust inherent features of image is generated by the CNN, and it is combined with the owner's watermark sequence using XOR operation. The experimental results show the watermark robustness against several attacks and common image processing.
KW - Convolutional Neural Networks
KW - Deep Learning
KW - Robust Features
KW - Zero-watermarking
UR - http://www.scopus.com/inward/record.url?scp=85068443113&partnerID=8YFLogxK
U2 - 10.1109/IWBF.2019.8739245
DO - 10.1109/IWBF.2019.8739245
M3 - Contribución a la conferencia
AN - SCOPUS:85068443113
T3 - 2019 7th International Workshop on Biometrics and Forensics, IWBF 2019
BT - 2019 7th International Workshop on Biometrics and Forensics, IWBF 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Workshop on Biometrics and Forensics, IWBF 2019
Y2 - 2 May 2019 through 3 May 2019
ER -