Title :
Edge-preserving nonlinear iterative image resampling method
Author :
Krylov, Andrey S. ; Lukin, Alexey S. ; Nasonov, Andrey V.
Author_Institution :
Lab. of Math. Methods of Image Process., Moscow Lomonosov State Univ., Moscow, Russia
Abstract :
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.
Keywords :
cameras; convergence; edge detection; gradient methods; image sampling; camera observation model; convergence speed; downsampling operator; edge-directional steepest-descent method; edge-preserving nonlinear iterative regularization; image resampling method; patch-based details synthesis; single noise-free image; Cameras; Filters; Image processing; Image resolution; Image sensors; Interpolation; Inverse problems; Iterative algorithms; Iterative methods; Signal resolution; Image interpolation; details synthesis; edge-directional; regularization; resampling; super-resolution;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414472
