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.

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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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