Photo Forensics From Rounding Artifacts

By Shruti Agarwal, Hany Farid. 2020

20 citations recorded by the source corpus.

Many aspects of JPEG compression have been successfully used in the domain of photo forensics. Adding to this literature, we describe a JPEG artifact that can arise depending upon seemingly innocuous implementation details in a JPEG encoder. We describe the nature of these artifacts and show how a generic JPEG encoder can be configured to explain a wide range of these artifacts found in real-world cameras. We also describe an algorithm to simultaneously estimate the nature of these artifacts and localize inconsistencies that can arise from a wide range of image manipulations.

Subfields: Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

  1. Richard Zhang
  2. Jun-Yan Zhu
  3. Luc Van Gool
  4. Gaurav Parmar
  5. Ming-Hsuan Yang
  6. Trevor Darrell
  7. Dacheng Tao
  8. Alexei A. Efros

Citations in the corpus