期刊
SIGNAL PROCESSING-IMAGE COMMUNICATION
卷 80, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.image.2019.115642
关键词
Image alignment; Perceptual image hash; Geometric distortion-resilient; Image forging detection; Image tampering localization
资金
- National Key Research and Development Plan Program of China [2016YFB1001004]
- National Natural Science Foundation of China [61772416]
- Key Laboratory Project of the Education Department of Shaanxi Province, PR China [1735098]
- Shaanxi province technology innovation guiding project, PR China [2018XNCG-G-02]
Perceptual image hash is an emerging technology that is closely related to many applications such as image content authentication, image forging detection, image similarity detection, and image retrieval. In this work, we propose an image alignment based perceptual image hash method, and a hash-based image forging detection and tampering localization method. In the proposed method, we introduce an image alignment process to provide a framework for image hash method to tolerate a wide range of geometric distortions. The image hash is generated by utilizing hybrid perceptual features that are extracted from global and local Zernike moments combining with DCT-based statistical features of the image. The proposed method can detect various image forging and compromised image regions. Furthermore, it has broad-spectrum robustness, including tolerating content-preserving manipulations and geometric distortion-resilient. Compared with stateof-the-art schemes, the proposed method provides satisfactory comprehensive performances in content-based image forging detection and tampering localization.
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