Exposing Digital Forgeries in Complex Lighting Environments

Johnson, Micah K.; Farid, Hany

doi:10.1109/tifs.2007.903848

Cited by 278 publications

(138 citation statements)

References 15 publications

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“…The authors in [15] proposed an image forgery detection technique by investigating inconsistencies in lighting. Although lighting of a scene is not a complicated task, but it can be hard to match as the difference in lightings can be negligible.…”

Section: Related Workmentioning

confidence: 99%

Using Sab-Iomha for an Alpha Channel based Image Forgery Detection

Bhatti¹,

Hussain²,

Qayyum³

et al. 2018

ijacsa

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Abstract-Digital images are a very popular way of transferring media. However, their integrity remains challenging because these images can easily be manipulated with the help of software tools and such manipulations cannot be verified through a naked-eye. Although there exist some techniques to validate digital images, but in practice, it is not a trivial task as the existing approaches to forgery detection are not very effective. Therefore, there is need for a simple and efficient solution for the challenge. On the other hand, digital image steganography is the concealing of a message within an image file. The secret message can be retrieved afterwards by the author to check the image file for its veracity. This research paper proposes Sabiomha, an image forgery technique that make use of image steganography. The proposed technique is also supported by a software tool to demonstrate its usefulness. Sabiomha works by inserting an invisible watermark to certain alpha bits of the image file. The watermark we have used to steganograph an image is composed of a combination of text inputs the author can use to sign the image. Any attempts to tamper the image would distort the sequence of the bits of the image pixel. Hence, the proposed technique can easily validate originality of a digital image by exposing any tampering. The usability of our contribution is demonstrated by using the software tool we developed to automate the proposed technique. The experiment which we performed to further validate our technique suggested that Sabimoha could be flawlessly applied to image files.

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Section: Related Workmentioning

confidence: 99%

Using Sab-Iomha for an Alpha Channel based Image Forgery Detection

Bhatti¹,

Hussain²,

Qayyum³

et al. 2018

ijacsa

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“…Johnson & Farid showed that under some simplifying assumptions, arbitrarily complex lightning environments can be approximated with a lowdimensional model [7] . They showed how the parameters of a reduced version of their model can be estimated from a single image and how that model can be used to detect consistencies and inconsistencies in an image.…”

Section: Review Of Digital Image Forgery Detectionmentioning

confidence: 99%

Detection of Forgery Part in Forgery Image Using Color Intensity

Rangnath¹

2016

ijetst

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“…In a later work [48] the same authors present a more complex lighting environment model, exploiting spherical harmonics for its representation. Assuming that the objects in the scene are bounded by convex and lambertian surfaces, the light environment is expressed as a function L(V) on a sphere, being V a unit vector in cartesian coordinates.…”

Section: Detecting Image Compositionmentioning

confidence: 99%

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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Exposing Digital Forgeries in Complex Lighting Environments

Cited by 278 publications

References 15 publications

Using Sab-Iomha for an Alpha Channel based Image Forgery Detection

Using Sab-Iomha for an Alpha Channel based Image Forgery Detection

Detection of Forgery Part in Forgery Image Using Color Intensity

Digital image forensics: a booklet for beginners

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