Statistical Model-Based Detector via Texture Weight Map: Application in Re-Sampling Authentication

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

Statistical Model-Based Detector via Texture Weight Map: Application in Re-Sampling Authentication

By: 
Tong Qiao ; Ran Shi ; Xiangyang Luo ; Ming Xu ; Ning Zheng ; Yiming Wu

The problem of authenticating a re-sampled image has been investigated over many years. Currently, however, little research proposes a statistical model-based test, resulting in that statistical performance of the resampling detector could not be completely analyzed. To fill the gap, we utilize a parametric model to expose the traces of resampling forgery, which is described with the distribution of residual noise. Afterward, we propose a statistical model describing the residual noise from a resampled image. Then, the detection problem is cast into the framework of hypothesis testing theory. By considering the image content with designing a texture weight map, two types of statistical detectors are established. In an ideal context in which all distribution parameters are perfectly known, the likelihood ratio test (LRT) is presented and its performance is theoretically established. An upper bound of the detection power can be successfully obtained from the statistical performance of an LRT. For practical use, when the distribution parameters are not known, a generalized LRT with three different maps based on estimation of parameters is established. Numerical results on simulated data and real natural images highlight the relevance of our proposed approach.

SPS on Twitter

  • Registration is now live for the 2020 IEEE 6th World Forum on Internet of Things! Meet attendees from industry, the… https://t.co/1T7vQhAazS
  • Early bird registration for ends on Monday, 24 February. Register today and save, and save even more with… https://t.co/dzlSXdN4y8
  • The IEEE Journal of Selected Topics in Signal Processing is now accepting original manuscripts for a Special Issue… https://t.co/mXKh41of5A
  • Join us on Tuesday, 25 February for a new webinar, “Enabling Identity-Based Integrity Auditing and Data Sharing Wit… https://t.co/rfpjVkEv09
  • The 2020 IEEE International Conference on Autonomous Systems will take place in Montréal on 12-14 August 2020 and w… https://t.co/ePFEWYagwP

SPS Videos


Signal Processing in Home Assistants

 


Multimedia Forensics


Careers in Signal Processing             

 


Under the Radar