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Unified Performance Evaluation Method for Perceptual Image Hashing
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DOI：10.1109/TIFS.2022.3161149.png)
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摘要
En 中文
In recent decades, a large number of perceptual image hashing schemes have been designed to secure the authenticity and integrity of digital images. However, the feasible criterion to evaluate the performances of hashing schemes has not been developed yet. To this end, a unified performance evaluation method for perceptual image hashing schemes is proposed in this paper. The proposed evaluation method contains six modules: robustness, discrimination, tampering detection, security, computational efficiency and hash length. The order relationship analysis (ORA) is employed to assign the score proportion of each module in accordance with the relative importance of performance, which allows the customizability of user. The real scores of modules and the outputted final score can reflect the performances of perceptual image hashing schemes intuitively and convincingly. Experimental results demonstrate that the proposed evaluation method is practical and effective for the complete and comprehensive evaluation of perceptual image hashing schemes.
Keyword:
Feature extraction
Robustness
Transforms
Security
Dimensionality reduction
Principal component analysis
Image coding
Image hashing
evaluation
universality
order relationship analysis
期刊
IF:
8
论文数:
5.3K
被引数:
2.3W
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Multi-scale image hashing using adaptive local feature extraction for robust tampering detection.png)
SIGNAL PROCESSING
SIGNAL PROCESSINGIF3.6
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