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

Koloda J, Seiler J, Kaup A (2015)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2015

Publisher: IEEE Computer Society

Pages Range: 4565-4569

Article Number: 7351671

Event location: Québec City CA

ISBN: 9781479983391

DOI: 10.1109/ICIP.2015.7351671

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.

Authors with CRIS profile

Jan Koloda Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Jürgen Seiler Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

How to cite

APA:

Koloda, J., Seiler, J., & Kaup, A. (2015). Denoising-based image reconstruction from pixels located at non-integer positions. In Proceedings of the IEEE International Conference on Image Processing, ICIP 2015 (pp. 4565-4569). Québec City, CA: IEEE Computer Society.

MLA:

Koloda, Jan, Jürgen Seiler, and André 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.

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