Abstract: One class of image forensic methods relies on characteristic local correlation pattern due to color filter array (CFA) interpolation (also known as demosaicing) in typical digital cameras. This paper proposes an efficient method to determine the concrete configuration of the color filter array—a means to decrease the degrees of freedom when checking for the existence or consistency of CFA artifacts in digital camera images. This can be useful for instance in the estimation of CFA interpolation coefficients, but may also have applications in steganography and steganalysis, where inter-pixel correlations play an important role. Our method is based on finding the most probable camera sensor output for a given digital image and provides an approximate solution which is only of linear complexity.

  url          = {http://dud.inf.tu-dresden.de/~kirchner/Documents/SPIE2010_CFA_paper.pdf},
  booktitle    = {SPIE Conference on Media Forensics and Security},
  author       = {Matthias Kirchner},
  location     = {San Jose, CA},
  year         = {2010},
  title        = {Efficient estimation of {CFA} pattern configuration in digital camera images},