Denoising-based image reconstruction from pixels located at non-integer positions

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Koloda J, Seiler J, Kaup A
Publisher: IEEE Computer Society
Publication year: 2015
Pages range: 4565-4569
ISBN: 9781479983391


Abstract


Digital images are commonly represented as regular 2D arrays, so pixels are organized in form of a matrix addressed by integers. However, there are many image processing operations, such as rotation or motion compensation, that produce pixels at non-integer positions. Typically, image reconstruction techniques cannot handle samples at non-integer positions. In this paper, we propose to use triangulation-based reconstruction as initial estimate that is later refined by a novel adaptive denoising framework. Simulations reveal that improvements of up to more than 1.8 dB (in terms of PSNR) are achieved with respect to the initial estimate.



FAU Authors / FAU Editors

Kaup, Andre Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Koloda, Jan
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Seiler, Jürgen Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Koloda, J., Seiler, J., & Kaup, A. (2015). Denoising-based image reconstruction from pixels located at non-integer positions. (pp. 4565-4569). Québec City, CA: IEEE Computer Society.

MLA:
Koloda, Jan, Jürgen Seiler, and Andre Kaup. "Denoising-based image reconstruction from pixels located at non-integer positions." Proceedings of the IEEE International Conference on Image Processing, ICIP 2015, Québec City IEEE Computer Society, 2015. 4565-4569.

BibTeX: 

Last updated on 2018-19-04 at 03:24