Illuminant-based Transformed Spaces for Image Forensics

Fake images created through splicing. (a) Conman Dimitri de Angelis (right) alongside US former president Bill Clinton (left). (b) Fake image of Brazil’s former president (center) in a purported personal life moment with an investigated gang leader (left).

Fake images created through splicing. (a) Conman Dimitri de Angelis (right) alongside US former president Bill Clinton (left). (b) Fake image of Brazil’s former president (center) in a purported personal life moment with an investigated gang leader (left).

We live in a digital age where images are considered one of the most powerful communication media. In this context, the development of methods for verifying image authenticity is a real need of the modern society.

In this research paper, Tiago Carvalho, Fábio Faria, Hélio Pedrini, Ricardo Torres, and Anderson Rocha have analyzed illuminant maps, as a possible image transformed space that capture, to some degree, the lighting information in a scene and that emphasize telltales left behind during the forgery process.

Experiments performed on three different open-access datasets show the potential of the proposed method for pinpointing image forgeries containing people.

The work introduces three important contributions for the forensic community:

  1. A confidence metric associated with each classified image;
  2. A method for effectively pointing out the region of an image that was forged;
  3. A method for effectively combining different evidence for detecting forgeries.

Carvalho, T.; Faria, F.A.; Pedrini, H.; Torres, R.S.; Rocha, A., “Illuminant-based Transformed Spaces for Image Forensics,” in Information Forensics and Security, IEEE Transactions on , vol.PP, no.99, pp.1-1 doi: 10.1109/TIFS.2015.2506548

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One Response to Illuminant-based Transformed Spaces for Image Forensics

  1. Pingback: Detecting image forgeries containing people through face illuminant maps | RECOD — Reasoning for Complex Data

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