Detection of face morphing attacks based on PRNU analysis
Recent research found that attacks based on morphed face images, ie, morphing attacks,
pose a severe security risk to face recognition systems. A reliable morphing attack detection …
pose a severe security risk to face recognition systems. A reliable morphing attack detection …
Preprocessing reference sensor pattern noise via spectrum equalization
Although sensor pattern noise (SPN) has been proved to be an effective means to uniquely
identify digital cameras, some non-unique artifacts, shared among cameras undergo the …
identify digital cameras, some non-unique artifacts, shared among cameras undergo the …
Sensor pattern noise estimation based on improved locally adaptive DCT filtering and weighted averaging for source camera identification and verification
A Lawgaly, F Khelifi - IEEE Transactions on Information …, 2016 - ieeexplore.ieee.org
Photo response non-uniformity (PRNU) noise is a sensor pattern noise characterizing the
imaging device. It has been broadly used in the literature for source camera identification …
imaging device. It has been broadly used in the literature for source camera identification …
PRNU‐based detection of facial retouching
C Rathgeb, A Botaljov, F Stockhardt, S Isadskiy… - IET …, 2020 - Wiley Online Library
Nowadays, many facial images are acquired using smart phones. To ensure the best
outcome, users frequently retouch these images before sharing them, eg via social media …
outcome, users frequently retouch these images before sharing them, eg via social media …
SPN-CNN: boosting sensor-based source camera attribution with deep learning
M Kirchner, C Johnson - 2019 IEEE international workshop on …, 2019 - ieeexplore.ieee.org
We explore means to advance source camera identification based on sensor noise in a data-
driven framework. Our focus is on improving the sensor pattern noise (SPN) extraction from …
driven framework. Our focus is on improving the sensor pattern noise (SPN) extraction from …
Noisescope: Detecting deepfake images in a blind setting
Recent advances in Generative Adversarial Networks (GANs) have significantly improved
the quality of synthetic images or deepfakes. Photorealistic images generated by GANs start …
the quality of synthetic images or deepfakes. Photorealistic images generated by GANs start …
On the SPN estimation in image forensics: a systematic empirical evaluation
M Al-Ani, F Khelifi - IEEE Transactions on Information Forensics …, 2016 - ieeexplore.ieee.org
Extracting a fingerprint of a digital camera has fertile applications in image forensics, such as
source camera identification and image authentication. In the last decade, photo response …
source camera identification and image authentication. In the last decade, photo response …
A fast source camera identification and verification method based on PRNU analysis for use in video forensic investigations
Due to the rapid development of digital and cloud technologies, everyone can easily shoot
and spread digital videos via email or social media. However, it is difficult for law …
and spread digital videos via email or social media. However, it is difficult for law …
A context-adaptive SPN predictor for trustworthy source camera identification
X Kang, J Chen, K Lin, P Anjie - EURASIP Journal on Image and video …, 2014 - Springer
Sensor pattern noise (SPN) has been recognized as a reliable device fingerprint for camera
source identification (CSI) and image origin verification. However, the SPN extracted from a …
source identification (CSI) and image origin verification. However, the SPN extracted from a …
Enhancing sensor pattern noise via filtering distortion removal
In this work, we propose a method to obtain higher quality sensor pattern noise (SPN) for
identifying source cameras. We believe that some components of SPN have been severely …
identifying source cameras. We believe that some components of SPN have been severely …