Tamper detection based on regularity of wavelet transform coefficients

Y. Sutcu, B. Coskun, H. T. Sencar, N. Memon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Powerful digital media editing tools make producing good quality forgeries very easy for almost anyone. Therefore, proving the authenticity and integrity of digital media becomes increasingly important. In this work, we propose a simple method to detect image tampering operations that involve sharpness/bluriness adjustment. Our approach is based on the assumption that if a digital image undergoes a copypaste type of forgery, average sharpness/blurriness value of the forged region is expected to be different as compared to the non-tampered parts of the image. The method of estimating sharpness/bluriness value of an image is based on the regularity properties of wavelet transform coefficients which involves measuring the decay of wavelet transform coefficients across scales. Our preliminary results show that the estimated sharpness/bluriness scores can be used to identify tampered areas of the image.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
PublisherIEEE Computer Society
Pages397-400
Number of pages4
ISBN (Print)1424414377, 9781424414376
DOIs
StatePublished - 2006
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: Sep 16 2007Sep 19 2007

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume1
ISSN (Print)1522-4880

Other

Other14th IEEE International Conference on Image Processing, ICIP 2007
CountryUnited States
CitySan Antonio, TX
Period9/16/079/19/07

Keywords

  • Digital forensics
  • Forgery detection
  • Image authentication
  • Regularity

ASJC Scopus subject areas

  • Engineering(all)

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