Blind authentication for detecting multi-image forgery

Yi Xie; Yulin Wang

doi:10.1117/12.2245319

29 August 2016 Blind authentication for detecting multi-image forgery

Yi Xie, Yulin Wang

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 1003346 (2016) https://doi.org/10.1117/12.2245319
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

Without any special training, people have the talent of understanding the image content. So the trustworthiness of photographs plays an important role in many areas such as criminal investigation and journalism. But in this digital world, the high-quantity commodity hardware and the low-cost image editing software give a cheap way of tampering the digital images without and clue of changing. In this paper, we introduce some passive-blind methods for detecting multi-image fakery, which means that adding a new object from another image into the image or replaying the original object by another object from a different photo. According to the characteristic of multi-image fakery, we propose two optional kinds of solution: technical method and analyzing method. Both of the two kinds of solution are effective and useful. Further more; the combine of them can reach a better performance.

Citation Download Citation

Yi Xie and Yulin Wang "Blind authentication for detecting multi-image forgery", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003346 (29 August 2016); https://doi.org/10.1117/12.2245319

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