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Fields of experts


Book Chapter


Fields of Experts are high-order Markov random field (MRF) models with potential functions that extend over large pixel neighborhoods. The clique potentials are modeled as a Product of Experts using nonlinear functions of many linear filter responses. In contrast to previous MRF approaches, all parameters, including the linear filters themselves, are learned from training data. A Field of Experts (FoE) provides a generic, expressive image prior that can capture the statistics of natural scenes, and can be used for a variety of machine vision tasks. The capabilities of FoEs are demonstrated with two example applications, image denoising and image inpainting, which are implemented using a simple, approximate inference scheme. While the FoE model is trained on a generic image database and is not tuned toward a specific application, the results compete with specialized techniques.

Author(s): Roth, S. and Black, M. J.
Book Title: Markov Random Fields for Vision and Image Processing
Pages: 297--310
Year: 2011
Editors: Blake, A. and Kohli, P. and Rother, C.
Publisher: MIT Press

Department(s): Perceiving Systems
Bibtex Type: Book Chapter (incollection)
Paper Type: Book Chapter

Links: publisher site


  title = {Fields of experts},
  author = {Roth, S. and Black, M. J.},
  booktitle = {Markov Random Fields for Vision and Image Processing},
  pages = {297--310},
  editors = {Blake, A. and Kohli, P. and Rother, C.},
  publisher = {MIT Press},
  year = {2011}