Digital Image Forensics vs. Image Composition: An Indirect Arms Race

Schetinger, Victor; Iuliani, Massimo; Piva, Alessandro; Oliveira, Manuel M.

doi:10.48550/arxiv.1601.03239

Cited by 3 publications

(7 citation statements)

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“…Image manipulation or image forgery encompasses any technique that may be used to manipulate an image [ 1 ]. It may be carried out using either active or passive approaches [ 2 , 3 ].…”

Section: Literature Reviewmentioning

confidence: 99%

“…In technical terms, the former two, i.e., copy/move and splicing, form the basis of object transferring. Many object transfer techniques exist [ 1 ], but the following are the most popular: Cut-out: patch boundaries should be well-defined, and the objective is for the contours to be seamless in a variety of ways, e.g., RepSnapping [ 12 ] and Intelligent Scissors [ 13 ]. Such manipulations are not concerned with the original environment of the patch and are thus easy to detect.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The burden to deal with such negativity shifts is on the forensic analyst. Aptly described as an “arms race” in [ 1 ], this competition between manipulator and forensic analyst may never end.…”

Section: Introductionmentioning

confidence: 99%

“…Blind image forensics only deals with the image under investigation without expecting any additional side information. It thus plays a vital role in many areas, including medical imaging, news reporting, criminal or court room investigations, insurance claim investigations, sports, and intelligence services [ 1 , 2 , 3 ]. In passive approaches, the image is forged through some sophisticated software or image manipulation techniques, where the goal is imperceptibility and not leaving any observable traces indicative of fakery, such as motion blur, broken edges, or edge inconsistencies.…”

Section: Introductionmentioning

confidence: 99%

“…In technical terms, the former two, i.e., copy/move and splicing, form the basis of object transferring. Many object transfer techniques exist [1], but the following are the most popular:…”

mentioning

confidence: 99%

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Seamless Copy–Move Replication in Digital Images

et al. 2022

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The importance and relevance of digital-image forensics has attracted researchers to establish different techniques for creating and detecting forgeries. The core category in passive image forgery is copy–move image forgery that affects the originality of image by applying a different transformation. In this paper, a frequency-domain image-manipulation method is presented. The method exploits the localized nature of discrete wavelet transform (DWT) to attain the region of the host image to be manipulated. Both patch and host image are subjected to DWT at the same level l to obtain 3l+1 sub-bands, and each sub-band of the patch is pasted to the identified region in the corresponding sub-band of the host image. Resulting manipulated host sub-bands are then subjected to inverse DWT to obtain the final manipulated host image. The proposed method shows good resistance against detection by two frequency-domain forgery detection methods from the literature. The purpose of this research work is to create a forgery and highlight the need to produce forgery detection methods that are robust against malicious copy–move forgery.

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“…Image manipulation or image forgery encompasses any technique that may be used to manipulate an image [ 1 ]. It may be carried out using either active or passive approaches [ 2 , 3 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…In technical terms, the former two, i.e., copy/move and splicing, form the basis of object transferring. Many object transfer techniques exist [1], but the following are the most popular:…”

mentioning

confidence: 99%

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Seamless Copy–Move Replication in Digital Images

et al. 2022

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Face X-Ray for More General Face Forgery Detection

Bao

Zhang

et al. 2020

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

715

398

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In this paper we propose a novel image representation called face X-ray for detecting forgery in face images. The face X-ray of an input face image is a greyscale image that reveals whether the input image can be decomposed into the blending of two images from different sources. It does so by showing the blending boundary for a forged image and the absence of blending for a real image. We observe that most existing face manipulation methods share a common step: blending the altered face into an existing background image. For this reason, face X-ray provides an effective way for detecting forgery generated by most existing face manipulation algorithms. Face X-ray is general in the sense that it only assumes the existence of a blending step and does not rely on any knowledge of the artifacts associated with a specific face manipulation technique. Indeed, the algorithm for computing face X-ray can be trained without fake images generated by any of the state-of-the-art face manipulation methods. Extensive experiments show that face Xray remains effective when applied to forgery generated by unseen face manipulation techniques, while most existing face forgery detection algorithms experience a significant performance drop.

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An Overview of Recent Work in Media Forensics: Methods and Threats

Bhagtani¹,

Yadav²,

Bartusiak³

et al. 2022

Preprint

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In this paper, we review recent work in media forensics for digital images, video, audio (specifically speech), and documents. For each data modality, we discuss synthesis and manipulation techniques that can be used to create and modify digital media. We then review technological advancements for detecting and quantifying such manipulations. Finally, we consider open issues and suggest directions for future research.

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Digital Image Forensics vs. Image Composition: An Indirect Arms Race

Cited by 3 publications

References 0 publications

Seamless Copy–Move Replication in Digital Images

Seamless Copy–Move Replication in Digital Images

Face X-Ray for More General Face Forgery Detection

An Overview of Recent Work in Media Forensics: Methods and Threats

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