PRNU-Based Content Forgery Localization Augmented With Image Segmentation

PRNU-Based Content Forgery Localization Augmented With Image Segmentation

The advances in image editing and retouching technology have enabled an unskilled person to easily produce visually indistinguishable forged images. To detect and localize such forgeries, many image forensic tools rely on visually imperceptible clues, e.g. the subtle traces or artifacts introduced d...

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Bibliographic Details
Main Authors: Xufeng Lin, Chang-Tsun Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Digital image forensics
image forgery localization
image segmentation
multimedia security
multi-orientation detection
photo-response non-uniformity noise
Online Access:https://ieeexplore.ieee.org/document/9284430/

Internet

https://ieeexplore.ieee.org/document/9284430/

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