Source Camera Identification for Low Resolution Heavily Compressed Images
ICCSA '08 Proceedings of the 2008 International Conference on Computational Sciences and Its Applications
Scanner identification using feature-based processing and analysis
IEEE Transactions on Information Forensics and Security
Accurate detection of demosaicing regularity for digital image forensics
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
Source camera identification using enhanced sensor pattern noise
IEEE Transactions on Information Forensics and Security
Exposing digital forgeries in color filter array interpolated images
IEEE Transactions on Signal Processing - Part II
Digital camera identification from sensor pattern noise
IEEE Transactions on Information Forensics and Security
Determining Image Origin and Integrity Using Sensor Noise
IEEE Transactions on Information Forensics and Security
Spatially adaptive wavelet thresholding with context modeling for image denoising
IEEE Transactions on Image Processing
Second ACM international workshop on multimedia in forensics, security and intelligence (MiFor 2010)
Proceedings of the international conference on Multimedia
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The imaging sensor (e.g., CCD, CMOS) pattern noise is a noise-like spread-spectrum signal that mainly consists of the photo-response non-uniformity (PRNU) noise. Since each camera has a unique PRNU, the PRNU becomes a popular fingerprint for source camera identification. Current fingerprints are built based on one color band. To better reflect the intrinsic characteristics of the camera, this work explores the way to build fingerprints based on three color bands of an image.