Algorithms, Architectures and Information Systems Security
Algorithms, Architectures and Information Systems Security
Accurate detection of demosaicing regularity for digital image forensics
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
The 'Dresden Image Database' for benchmarking digital image forensics
Proceedings of the 2010 ACM Symposium on Applied Computing
Image tamper detection based on demosaicing artifacts
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Exposing digital forgeries in color filter array interpolated images
IEEE Transactions on Signal Processing - Part II
Nonintrusive Component Forensics of Visual Sensors Using Output Images
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
Adaptive homogeneity-directed demosaicing algorithm
IEEE Transactions on Image Processing
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In digital image forensics, estimating the color filter array (CFA) pattern can be useful for digital camera identification. In this paper, we proposed the new method to estimate the CFA pattern of the digital cameras from a single image. Our method is based on the basic principal of CFA interpolation which fills an empty pixel using neighbor pixels. For each channel, we define the specific neighbor pattern and count the intermediate values. The CFA pattern is estimated by utilizing this counting information of three channels. The experimental results show that the proposed method achieves high accuracy with various camera models and CFA interpolation algorithms.