Title :
Wavelet-based image compression anti-forensics
Author :
Stamm, Matthew C. ; Liu, K. J Ray
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA
Abstract :
Because digital images can be modified with relative ease, considerable effort has been spent developing image forensic algorithms capable of tracing an image´s processing history. In contrast to this, relatively little consideration has been given to anti-forensic operations designed to mislead forensic techniques. In this paper, we propose an anti-forensic technique capable of removing artifacts indicative of wavelet-based image compression from an image. Our technique operates by adding anti-forensic dither to a previously compressed image´s wavelet coefficients so that the anti-forensically modified wavelet coefficient distribution matches a model of the coefficient distribution before compression. Simulation results show that our algorithm is capable of fooling current forensic image compression detection algorithms 100% of the time.
Keywords :
computer forensics; data compression; image coding; wavelet transforms; anti-forensic dither; anti-forensic operations; artifact removal; digital images; forensic image compression detection; image forensic; image processing history; wavelet based image compression; wavelet coefficient distribution; Forensics; Histograms; History; Image coding; Mathematical model; Quantization; Transform coding; Anti-Forensics; Digital Forensics; Image Compression;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5652845