Fast and reliable resampling detection by spectral analysis of fixed linear predictor residue
Proceedings of the 10th ACM workshop on Multimedia and security
Detection of seam carving and localization of seam insertions in digital images
Proceedings of the 11th ACM workshop on Multimedia and security
A new approach for JPEG resize and image splicing detection
MiFor '09 Proceedings of the First ACM workshop on Multimedia in forensics
Adding Gaussian noise to "denoise" JPEG for detecting image resizing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A bibliography on blind methods for identifying image forgery
Image Communication
Linear row and column predictors for the analysis of resized images
Proceedings of the 12th ACM workshop on Multimedia and security
IEEE Transactions on Information Forensics and Security
Classification of digital camera-models based on demosaicing artifacts
Digital Investigation: The International Journal of Digital Forensics & Incident Response
Performance and robustness analysis for some re-sampling detection techniques in digital images
IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking
Robust resampling detection in digital images
CMS'12 Proceedings of the 13th IFIP TC 6/TC 11 international conference on Communications and Multimedia Security
Accelerated image resampling for geometry correction
Journal of Real-Time Image Processing
Estimation of linear transformation by analyzing the periodicity of interpolation
Pattern Recognition Letters
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A novel algorithm is introduced that can detect the presence of interpolation in images prior to compression as well as estimate the interpolation factor. The interpolation detection algorithm exploits a periodicity in the second derivative signal of interpolated images. The algorithm performs well for a wide variety of interpolation factors, both integer factors and non-integer factors. The algorithm performance is noted with respect to a digital camera's "digital zoom" feature. Overall, the algorithm has demonstrated robust results and might prove to be useful for situations where an original resolution of the image determines the action of an image processing chain.