Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2014, Vol. 37 ›› Issue (1): 6-10.doi: 10.13190/j.jbupt.2014.01.002

• Papers • Previous Articles     Next Articles

Detecting Forgeriesby Correlation between Image Noise Features and EXIF Parameters

LI Ye-zhou1, SUN Xiao-ting1, NIU Shao-zhang2, MENG Xian-zhe2   

  1. 1. School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2013-05-31 Online:2014-02-28 Published:2014-01-07

Abstract:

In correlation between five common exchangeable image file (EXIF) parameters and image statistical noise for digital photos is built. The authenticity of the image is judged by this correlation. The statistical noise and five EXIF features from the training image are extracted, following the correlation established. Make use of the correlation to estimate EXIF information of testing images which will be compared with the real values. The comparison will determine the authenticity of testing images. Experiments on both tampered images and real images indicate the effectiveness of the proposed method.

Key words: image tampered, exchange image file parameters, noise features

CLC Number: