Abstract
Jarosław Bernacki
Abstract
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Database-friendly random projections: Johnson-lindenstrauss with binary coins
10.1016/s0022-0000(03)00025-4 · 2003
Fingerprint sensor classification via mélange of handcrafted features
2016
Iris sensor identification in multi-camera environment
10.1016/j.inffus.2017.11.004 · 2019
Unresolved referenced work
2012
Some remarks about tracing digital cameras - faster method and useable countermeasure
2017
Digital image forgery detection using passive techniques: a survey
10.1016/j.diin.2013.04.007 · 2013
Performance analysis of a color cmos photogate image sensor
10.1109/16.817567 · 2000
Noise performance of a color cmos photogate image sensor
1997
Enhanced dark current generation in proton-irradiated cmos active pixel sensors
10.1109/tns.2002.1039695 · 2002
First steps toward camera model identification with convolutional neural networks
10.1109/lsp.2016.2641006 · 2017
An analysis on attacker actions in fingerprint-copy attack in source camera identification
2011
Empirical formula for rates of hot pixel defects based on pixel size, sensor area, and ISO
10.1117/12.2005850 · 2013
Enhanced correction methods for high density hot pixel defects in digital imagers
2015
Camera model identification framework using an ensemble of demosaicing features
2015
Source digital camcorder identification using sensor photo response non-uniformity
2007
Median filtering forensics based on convolutional neural networks
10.1109/lsp.2015.2438008 · 2015
Camera model identification with residual neural network
2017
Source camera identification using footprints from lens aberration
2006
Single particle dark current spikes induced in ccds by high energy neutrons
10.1109/tns.2003.821813 · 2003
Mobile iris challenge evaluation (miche)-i, biometric iris dataset and protocols
10.1016/j.patrec.2015.02.009 · 2015
Comparison of PRNU enhancement techniques to generate PRNU fingerprints for biometric source sensor attribution
2016
Source camera identification using auto-white balance approximation
2011
Source camera identification based on sensor dust characteristics
2007
Digital single lens reflex camera identification from traces of sensor dust
10.1109/tifs.2008.926987 · 2008
Variation in accuracy of textured contact lens detection based on sensor and lens pattern
2013
Biosec baseline corpus: a multimodal biometric database
10.1016/j.patcog.2006.10.014 · 2007
Using sensor pattern noise for camera model identification
2008
Unresolved referenced work
Kept as external metadata until matched
Unresolved referenced work
2017
Deep learning for source camera identification on mobile devices
10.1016/j.patrec.2018.01.005 · 2019
Sensor defects in digital image forensic
2013
Combining hardwaremetry and biometry for human authentication via smartphones
2015
Methods for identification of images acquired with digital cameras
10.1117/12.417569 · 2001
Improving source camera identification using a simplified total variation based noise removal algorithm
10.1016/j.diin.2013.08.002 · 2013
The ‘Dresden Image Database’ for benchmarking digital image forensics
2010
Digital camera identification from images - estimating false acceptance probability
2008
Estimation of lens distortion correction from single images
2014
Defending against fingerprint-copy attack in sensor-based camera identification
10.1109/tifs.2010.2099220 · 2011
Effect of compression on sensor-fingerprint based camera identification
2016
Explaining and harnessing adversarial examples
2015
Robust multi-classifier for camera model identification based on convolution neural network
10.1109/access.2018.2832066 · doi-reference
Source camera identification based on content-adaptive fusion residual networks
10.1016/j.patrec.2017.10.016 · doi-reference
Deep learning for sensor-based activity recognition: a survey
10.1016/j.patrec.2018.02.010 · doi-reference
Compressed fingerprint matching and camera identification via random projections
10.1109/tifs.2015.2415461 · doi-reference
Using decision fusion of feature selection in digital forensics for camera source model identification
10.1016/j.csi.2011.10.006 · doi-reference
Image features dependant correlation-weighting function for efficient PRNU based source camera identification
10.1016/j.forsciint.2018.02.005 · doi-reference
Robust watermarking of mobile video resistant against barrel distortion
10.1109/cc.2016.7582305 · doi-reference
Camera model identification based on the generalized noise model in natural images
10.1016/j.dsp.2015.10.002 · doi-reference
VISION: a video and image dataset for source identification
10.1186/s13635-017-0067-2 · doi-reference
A new dataset for source identification of high dynamic range images
10.3390/s18113801 · doi-reference
Nonlinear total variation based noise removal algorithms
10.1016/0167-2789(92)90242-f · doi-reference
Camera-identification and common-source identification: the correlation values of mismatches
10.1016/j.forsciint.2019.05.008 · doi-reference
Source camera identification using photo response non-uniformity on whatsapp
10.1016/j.diin.2018.02.005 · doi-reference
A deep learning approach for iris sensor model identification
10.1016/j.patrec.2017.04.010 · doi-reference
On the vulnerability of deep learning to adversarial attacks for camera model identification
10.1016/j.image.2018.04.007 · doi-reference
Digital camera identification from sensor pattern noise
10.1109/tifs.2006.873602 · doi-reference
Inference of a compact representation of sensor fingerprint for source camera identification
10.1016/j.patcog.2017.09.027 · doi-reference
Dead pixel completion of aqua MODIS band 6 using a robust m-estimator multiregression
10.1109/lgrs.2013.2278626 · doi-reference
Deep learning
10.1038/nature14539 · doi-reference
Enhancing source camera identification performance with a camera reference phase sensor pattern noise
10.1109/tifs.2011.2168214 · doi-reference
Improving source camera identification performance using dct based image frequency components dependent sensor pattern noise extraction method
10.1016/j.diin.2018.02.003 · doi-reference