Conference proceeding
WAVELET-BASED IMAGE COMPRESSION ANTI-FORENSICS
2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, pp 1737-1740
01 Jan 2010
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- WAVELET-BASED IMAGE COMPRESSION ANTI-FORENSICS
- Creators
- Matthew C. Stamm - University of Maryland, College ParkK. J. Ray Liu - University of Maryland, College ParkIEEE
- Publication Details
- 2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, pp 1737-1740
- Series
- IEEE International Conference on Image Processing ICIP
- Publisher
- IEEE
- Number of pages
- 4
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000287728001207
- Scopus ID
- 2-s2.0-78651103620
- Other Identifier
- 991019295015904721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Electrical & Electronic
- Imaging Science & Photographic Technology