Edge-preserving nonlinear iterative image resampling method
Andrey Serdjevich Krylov, Alexey Lukin, Andrey V. Nasonov · 2009
In this paper, an edge-preserving nonlinear iterative regularization-based image resampling method for a single noise-free image is proposed. Several aspects of the resampling algorithm are investigated: choice of discrepancy and regularization norms, improvements of convergence speed using edge-directional steepest-descent method and patch-based details synthesis. A model of a downsampling operator based on a camera observation model is considered.