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EXchangeable Image File format (EXIF) is a metadata header containing shot-related camera settings such as aperture, exposure time, ISO speed etc. These settings can affect the photo content in many ways. In this paper, we investigate the underlying EXIF-Image correlation and propose a novel model, which correlates image statistical noise features with several commonly used EXIF features. By formulating...
Mobile cameras are typically low-end cameras equipped on handheld devices such as personal digital assistants and cellular phones. The fast proliferation of these mobile cameras has brought up concerns on the origin and integrity of their output images. In this paper, we identify blindly the source mobile cameras by combining 3 types of demosaicing features extracted from a test image. Through Eigenfeature...
With advances in image display technology, recapturing good-quality images from the high-fidelity artificial scenery on a LCD screen becomes possible. Such image recapturing posts a security threat, which allows the forgery images to bypass the current forensic systems. In this paper, we first recapture some good-quality photos on different LCD screens by properly setting up the recapturing environment...
RAW tools are PC software tools that develop the RAWs, i.e. the camera sensor data, into full-color photos. In this paper, we propose to study the internal processing characteristics of these RAW tools using 3 heterogeneous sets of demosaicing features. Through feature-level fusion, normalization and an Eigen-space regularization technique, we derive a compact set of discriminant features. Experimentally,...
Demosaicing regularity is an important processing regularity associated with the internal camera processing and its detection from output photos is useful for non-intrusive forensic engineering. In this paper, we propose a reverse grouping technique to improve the detection accuracy of our earlier proposed detection model based on second-order image derivatives. Comparison results based on syntactic...
In this paper, we propose a novel accurate detection framework of demosaicing regularity from different source images. The proposed framework first reversely classifies the demosaiced samples into several categories and then estimates the underlying demosaicing formulas for each category based on partial second-order derivative correlation models, which detect both the intrachannel and the cross-channel...
Detection of demosaicing characteristics based on correlation at pixel level is useful for image forensic purposes. In this paper, we propose a new model to detect the demosaicing characteristics based on the second-order derivative correlation. Without the influences of the uneven DC components in the three color channels, the new model can estimate both intra-channel and cross-channel correlation...
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