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

fYear

2009

fDate

7-10 Nov. 2009

Firstpage

385

Lastpage

388

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2009 16th IEEE International Conference on

Conference_Location

Cairo

ISSN

1522-4880

Print_ISBN

978-1-4244-5653-6

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2009.5414472

Filename

5414472