Detecting filtered cloning in digital images

ABSTRACT

We present an efficient technique to detect portions of a digital image that have been modified using textural information from another region of the image, for example Photoshop's healing brush or Poisson cloning. Common uses of these tools include removing damaged areas, blemishes and sometimes larger objects from a scene. We show that the methods are efficient and accurately identify the use of a large class of image manipulation techniques for uncompressed TIFF images and high quality compressed images. When applied to images that have higher compression levels accurate results are also obtained if the region that has been duplicated is sufficiently large.

REFERENCES

• 1: Hany Farid, Exposing digital forgeries in scientific images, Proceedings of the 8th workshop on Multimedia and security, September 26-27, 2006, Geneva, Switzerland [doi>10.1145/1161366.1161374]
• 2: H. Farid and E. Simoncelli. Differentiation of discrete multi-dimensional signals. IEEE Transactions on Image Processing, 13(4):496--508, 2004.
• 3: J. Fridrich, J. Lukas, and M. Goljan. Detecting digital image forgeries using sensor pattern noise. In Proc. of SPIE Electronic Imaging, 2006.
• 4: J. Fridrich, D. Soukal, and J. Lukas. Detection of copy-move forgery in digital images. In Proc. of DFRWS, 2003.
• 5: T. Georgiev. Vision, healing brush, and fiber bundles. In Proceedings of SPIE, 2005.
• 6: Micah K. Johnson , Hany Farid, Exposing digital forgeries by detecting inconsistencies in lighting, Proceedings of the 7th workshop on Multimedia and security, p.1-10, August 01-02, 2005, New York, NY, USA [doi>10.1145/1073170.1073171]
• 7: Micah K. Johnson , Hany Farid, Exposing digital forgeries through chromatic aberration, Proceedings of the 8th workshop on Multimedia and security, September 26-27, 2006, Geneva, Switzerland [doi>10.1145/1161366.1161376]
• 8: S. C. Johnson. Hierarchical clustering schems. Psychometricka, 2:241--254, 1967.
• 9: H. Pearson. Image manipulation csi: Cell biology. Nature, 434:952--953, 2005.
• 10: Patrick Pérez , Michel Gangnet , Andrew Blake, Poisson image editing, ACM SIGGRAPH 2003 Papers, July 27-31, 2003, San Diego, California
• 11: A. Popescu and H. Farid. Exposing digital forgeries by detecting duplicated image regions. Technical Report TR2004-515, Department of Computer Science, Dartmouth College, 2004.
• 12: A. Popescu and H. Farid. Exposing digital forgeries by detecting traces of re-sampling. IEEE Transactions on Signal Processing, 53(2):758--767, 2005.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.4 IMAGE PROCESSING AND COMPUTER VISION
      I.4.m Miscellaneous

General Terms:
Security

Keywords:
healing brush, image forgery