Hiding Traces of Resampling in Digital Images

Kirchner, Matthias; Böhme, Rainer

doi:10.1109/tifs.2008.2008214

Cited by 189 publications

(114 citation statements)

References 19 publications

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“…In [54], Kirchner and Bohme introduce a technique to hide traces of region re-sampling. The study is targeted on Popescu and Farid's tampering detector (see section 4.2.3, [80]), which exposes forgeries by detecting the linear dependencies that re-sampling typically induces among pixels.…”

Section: Tamper Hidingmentioning

confidence: 99%

“…Kirchner and Fridrich [56] targeted the median filter attack perpetrated in [54], also arguing that since many detectors rely on the detection of linearities, the use of median filtering can be a general symptom of tampering. The authors propose to inspect image by measuring streaking artifacts, typically originated from the application of median filters.…”

Section: Countering Counter-forensicsmentioning

confidence: 99%

See 1 more Smart Citation

Digital image forensics: a booklet for beginners

Redi

Taktak

Dugelay

2010

Multimed Tools Appl

307

115

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Digital visual media represent nowadays one of the principal means for communication. Lately, the reliability of digital visual information has been questioned, due to the ease in counterfeiting both its origin and content. Digital image forensics is a brand new research field which aims at validating the authenticity of images by recovering information about their history. Two main problems are addressed: the identification of the imaging device that captured the image, and the detection of traces of forgeries. Nowadays, thanks to the promising results attained by early studies and to the always growing number of applications, digital image forensics represents an appealing investigation domain for many researchers. This survey is designed for scholars and IT professionals approaching this field, reviewing existing tools and providing a view on the past, the present and the future of digital image forensics.

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Section: Tamper Hidingmentioning

confidence: 99%

Section: Countering Counter-forensicsmentioning

confidence: 99%

Digital image forensics: a booklet for beginners

Redi

Taktak

Dugelay

2010

Multimed Tools Appl

307

115

View full text Add to dashboard Cite

show abstract

“…Recently, some authors [6,7] designed testing frameworks to evaluate and compare the robustness of different resampling detectors. With the aim to assess the security of resampling detection, Kirchner and Boehme [8] designed several targeted attacks against the technique of Popescu and Farid [2]. Inspired by the above works, in this paper we propose some other simple but effective targeted attacks to conceal traces of resampling from common forensic tools.…”

Section: Introductionmentioning

confidence: 99%

Robust Resampling Detection in Digital Images

Nguyễn

Katzenbeisser

2012

Communications and Multimedia Security

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“…Furthermore, anti-forensic operations may be used to provide intellectual property protection by preventing the reverse engineering of proprietary signal processing operations used by digital cameras through digital forensic means. To the best of our knowledge, there are only two existing anti-forensic techniques: a set of operations designed to render image rotation and resizing undetectable and an technique to synthesize color lter array patterns [6] [7].…”

Section: Introductionmentioning

confidence: 99%

Anti-forensics of JPEG compression

Stamm

Tjoa

Lin

et al. 2010

2010 IEEE International Conference on Acoustics, Speech and Signal Processing

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The widespread availability of photo editing software has made it easy to create visually convincing digital image forgeries. To address this problem, there has been much recent work in the eld of digital image forensics. There has been little work, however, in the eld of anti-forensics, which seeks to develop a set of techniques designed to fool current forensic methodologies. In this work, we present a technique for disguising an image's JPEG compression history. An image's JPEG compression history can be used to provide evidence of image manipulation, supply information about the camera used to generate an image, and identify forged regions within an image. We show how the proper addition of noise to an image's discrete cosine transform coef cients can suf ciently remove quantization artifacts which act as indicators of JPEG compression while introducing an acceptable level of distortion. Simulation results are provided to verify the ef cacy of this antiforensic technique.

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Hiding Traces of Resampling in Digital Images

Cited by 189 publications

References 19 publications

Digital image forensics: a booklet for beginners

Digital image forensics: a booklet for beginners

Robust Resampling Detection in Digital Images

Anti-forensics of JPEG compression

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