Selective Image Diffusion: Application to Disparity Estimation

  title={Selective Image Diffusion: Application to Disparity Estimation},
  author={Abdol-Reza Mansouri and Amar Mitiche and Janusz Konrad},
Inverse problems encountered in image processing and computer vision are often ill-posed. Whether set in a Bayesian or energy-based context, such problems require prior assumptions expressed through an a priori probability or a regularization term, respectively. In some cases, the prior term exhibits partial dependence on the observations (e.g., images) that is often ignored to simplify modeling and computations. We briefly review methods that take this dependence into account and we propose a… CONTINUE READING
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