DIBR Zero-Watermarking Based on Invariant Feature and Geometric Rectification
Author:
Affiliation:
1. Central South University, Hunan, China
2. Guilin University of Electronic Technology, Guangxi, China
3. Loughborough University, Loughborough, U.K.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Hunan Province
Guangxi Key Laboratory of Trusted Software
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Hardware and Architecture,Media Technology,Signal Processing,Software
Link
http://xplorestaging.ieee.org/ielx7/93/9897013/09705169.pdf?arnumber=9705169
Reference20 articles.
1. A novel zero-watermarking scheme with enhanced distinguishability and robustness for volumetric medical imaging
2. Robust and discriminative zero-watermark scheme based on invariant features and similarity-based retrieval to protect large-scale DIBR 3D videos
3. Discriminative and Geometrically Robust Zero-Watermarking Scheme for Protecting DIBR 3D Videos
4. The contourlet transform: an efficient directional multiresolution image representation
5. A new color image encryption using combination of the 1D chaotic map
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1. Resnet50 and logistic Gaussian map-based zero-watermarking algorithm for medical color images;Neural Computing and Applications;2024-08-08
2. Convolutional neural network and 2D logistic-adjusted-Chebyshev-based zero-watermarking of color images;Multimedia Tools and Applications;2023-09-14
3. Robust zero-watermarking scheme using DT CWT and improved differential entropy for color medical images;Journal of King Saud University - Computer and Information Sciences;2023-09
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