Fusion of block and keypoints based approaches for effective copy-move image forgery detection

DOI10.1007/s11045-016-0416-1zbMath1441.94035OpenAlexW2345141063MaRDI QIDQ337947

Heng Yang, Jiangbin Zheng, Yijun Yan, Tingge Zhu, Jinchang Ren, Ya-nan Liu

Publication date: 3 November 2016

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://strathprints.strath.ac.uk/56318/

zbMATH Keywords

siftadaptive fusioncopy-move image forgery detectionimage forensicsZernike moments

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items

Special issue on Multimodal data fusion for multidimensional signal processing ⋮ A fast and high accurate image copy-move forgery detection approach

Uses Software

• Vlfeat
• SIFT

Cites Work

• On image analysis by the methods of moments
• The discrete wavelet transform: wedding the a trous and Mallat algorithms
• High-Accuracy Sub-Pixel Motion Estimation From Noisy Images in Fourier Domain

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