Perceptual authentication hashing for digital images based on multi-domain feature fusion
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Deep learning and transformer-based hashing techniques demand large-scale labeled data and large amounts of training to learn generalizable representations.
“However, similarity is decided by fixed thresholds during deployment and these techniques demand large-scale labeled data and large amounts of training to learn generalizable representations.”
From DBpHash: a blockchain-based dual-band perceptual hashing framework for copyright protection of purely chromatic background images (2026) · cites this paper as [17]
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Nainar, M., Sankaranarayanan, S., & Veeramani, K. (2026) · Scientific Reports · doi:10.1038/s41598-026-54102-1
“Spatial and frequency features are combined through convolutional neural networks (CNNs) and attention mechanisms to improve the balance between robustness and discriminability 17 .”
- Authors
- Cao, F., Yao, S., Zhou, Y., Yao, H., & Qin, C.
- Affiliations
- Shanghai Maritime University (CN)
- University of Shanghai for Science and Technology (CN)
- Corresponding author
- Qin, Chuan
- Venue
- Signal Processing
- Publisher
- Elsevier BV
- Published
- 2024-10
- Volume
- 223
- Pages
- 109576
- ISSN
- 0165-1684 (ISSN-L)
- OpenAlex
- W4399601056
- Semantic Scholar
- e1a91b53cf7fa4bf57cfb818ea8233470d7d2029
- Cited by
- 8
- References
- 35
- Citations by year
- 2026: 5 · 2025: 3
- FWCI
- 1.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Signal Processing (publishedVersion)
- Funders
- Shanghai Municipal Natural Science Foundation (21ZR1444600)
- Natural Science Foundation of Shenyang Municipality
- National Natural Science Foundation of China (61902239, 62172281)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Keywords
- image content authentication, multi-domain feature fusion, convolutional neural networks
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