TY - GEN
T1 - PRNU based source attribution with a collection of seam-carved images
AU - Taspinar, Samet
AU - Mohanty, Manoranjan
AU - Memon, Nasir
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/3
Y1 - 2016/8/3
N2 - Photo Response Non-Uniformity (PRNU) noise based source attribution is a well known technique to verify the source camera of an anonymous image or video. Researchers have proposed various counter measures to PRNU based source camera attribution. Forced seam-carving is a recently proposed counter forensics measure that was proposed to defeat PRNU based source attribution by disturbing the alignment of PRNU noise patterns. This paper shows that given a multiple number of seam-carved images, source attribution can still be reliably made even if the size of a non-carved image block is less than the recommended size of 50×50.
AB - Photo Response Non-Uniformity (PRNU) noise based source attribution is a well known technique to verify the source camera of an anonymous image or video. Researchers have proposed various counter measures to PRNU based source camera attribution. Forced seam-carving is a recently proposed counter forensics measure that was proposed to defeat PRNU based source attribution by disturbing the alignment of PRNU noise patterns. This paper shows that given a multiple number of seam-carved images, source attribution can still be reliably made even if the size of a non-carved image block is less than the recommended size of 50×50.
KW - Countering Seam-Carving-Based Anonymization
KW - PRNU Noise Pattern
KW - Source Camera Attribution
UR - http://www.scopus.com/inward/record.url?scp=85006705747&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85006705747&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2016.7532338
DO - 10.1109/ICIP.2016.7532338
M3 - Conference contribution
AN - SCOPUS:85006705747
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 156
EP - 160
BT - 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings
PB - IEEE Computer Society
T2 - 23rd IEEE International Conference on Image Processing, ICIP 2016
Y2 - 25 September 2016 through 28 September 2016
ER -