1st International ICST Workshop on Computational Forensics

Research Article

On Periodic Properties of Interpolation and Their Application To Image Authentication

  • @INPROCEEDINGS{10.1109/IAS.2007.49,
        author={Babak  Mahdian and Stanislav  Saic},
        title={On Periodic Properties of Interpolation and Their Application To Image Authentication},
        proceedings={1st International ICST Workshop on Computational Forensics},
        publisher={IEEE},
        proceedings_a={IWCF},
        year={2007},
        month={9},
        keywords={Authentication  Computer interfaces  Digital images  Forgery  Humans  Information security  Information theory  Interpolation  Signal analysis  Watermarking},
        doi={10.1109/IAS.2007.49}
    }
    
  • Babak Mahdian
    Stanislav Saic
    Year: 2007
    On Periodic Properties of Interpolation and Their Application To Image Authentication
    IWCF
    IEEE
    DOI: 10.1109/IAS.2007.49
Babak Mahdian1,*, Stanislav Saic1,*
  • 1: Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Pod Vodarenskou vezı 4, 18208 Prague 8, Czech Republic.
*Contact email: mahdian@utia.cas.cz, ssaic@utia.cas.cz

Abstract

n our society digital images are a powerful and widely used communication medium. They have an important impact on our life. In recent years, due to the advent of high-performance consumer hardware and improved human computer interfaces, it has become relatively easy to create fake images. Typically, to create high quality and consistent forgeries, several types of tampering techniques are employed simultaneously. One of the most often used techniques is resampling (especially when two or more images are spliced together). Generally, resampling is based on an interpolation procedure. Typically, this procedure brings into the signal specific statistical changes. In this work we analyze and analytically describe specific periodic properties presence in interpolated signals and their derivatives. Furthermore, we propose an efficient and blind method to automatically detect the traces of geometric transformations in images and their portions. The results of the proposed method are demonstrated on several examples.