Enhancing Image Forgery Detection Using 2-D Cross Products - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2016

Enhancing Image Forgery Detection Using 2-D Cross Products

Songpon Teerakanok
  • Function : Author
  • PersonId : 1030294

Abstract

The availability of sophisticated, easy-to-use image editing tools means that the authenticity of digital images can no longer be guaranteed. This chapter proposes a new method for enhancing image forgery detection by combining two detection techniques using a 2-dimensional cross product. Compared with traditional approaches, the method yields better detection results in which the tampered regions are clearly identified. Another advantage is that the method can be applied to enhance a variety of detection algorithms. The method was tested on the CASIA TIDE v2.0 public dataset of color images and the results compared against those obtained using the re-interpolation, JPEG noise quantization and noise estimation techniques. The experimental results indicate that the proposed method is efficient and has superior detection characteristics.
Fichier principal
Vignette du fichier
431606_1_En_15_Chapter.pdf (548.56 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01758681 , version 1 (04-04-2018)

Licence

Attribution

Identifiers

Cite

Songpon Teerakanok, Tetsutaro Uehara. Enhancing Image Forgery Detection Using 2-D Cross Products. 12th IFIP International Conference on Digital Forensics (DF), Jan 2016, New Delhi, India. pp.297-310, ⟨10.1007/978-3-319-46279-0_15⟩. ⟨hal-01758681⟩
45 View
112 Download

Altmetric

Share

Gmail Facebook X LinkedIn More