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Digital image forgery detection based on lens and sensor aberration
Ido Yerushalmy,
Hagit Hel-Or
Department of Computer Science
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peer-review
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Keyphrases
Physical Structure
100%
Invisible
100%
Acquisition Process
100%
Image Acquisition
100%
Digital Camera
100%
Physical Characteristics
100%
Forgery
100%
Aberrations
100%
Digital Photographs
100%
Image Content
100%
Image Features
100%
Digital Watermarking
100%
Chromatic Aberration
100%
Image Authenticity
100%
Sensing System
100%
Digital Image Forgery Detection
100%
Image Artifacts
100%
Image Manipulation
100%
Optical System
100%
Proof of Authenticity
100%
Computer Science
Presented Approach
100%
Digital Image Forgery
100%
Forgery Detection
100%
Physical Structure
50%
Image Artifact
50%
Digital Photograph
50%
Image Acquisition
50%
Digital Camera
50%
Image Content
50%
Physical Characteristic
50%
Acquisition Process
50%
image feature
50%
Image Manipulation
50%
Digital Watermark
50%
Image Authenticity
50%
Chromatic Aberration
50%
Engineering
Physical Structure
100%
Optical Systems
100%
Chromatic Aberration
100%
Fundamental Assumption
100%
Sensing System
100%
Image Content
100%
Image Authenticity
100%
Digital Camera
100%