Reconstruction of Images Taken by a Pair of Non-Regular Sampling Sensors Using Correlation Based Matching

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Jonscher M, Seiler J, Richter T, Bätz M, Kaup A
Editor(s): IEEE
Publication year: 2014
Pages range: 2879-2882
ISBN: 978-1-4799-5751-4
ISSN: 2381-8549
Language: English


Abstract


Multi-view image acquisition systems with two or more cameras can be rather costly due to the number of high resolution image sensors that are required. Recently, it has been shown that by covering a low resolution sensor with a non-regular sampling mask and by using an efficient algorithm for image reconstruction, a high resolution image can be obtained. In this paper, a stereo image reconstruction setup for multi-view scenarios is proposed. A scene is captured by a pair of non-regular sampling sensors and by incorporating information from the adjacent view, the reconstruction quality can be increased. Compared to a state-of-the-art single-view reconstruction algorithm, this leads to a visually noticeable average gain in PSNR of 0.74 dB.


FAU Authors / FAU Editors

Bätz, Michel
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Jonscher, Markus Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Richter, Thomas Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Seiler, Jürgen PD Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Jonscher, M., Seiler, J., Richter, T., Bätz, M., & Kaup, A. (2014). Reconstruction of Images Taken by a Pair of Non-Regular Sampling Sensors Using Correlation Based Matching. In IEEE (Eds.), Proceedings of the IEEE International Conference on Image Processing (ICIP) (pp. 2879-2882). Paris, FR.

MLA:
Jonscher, Markus, et al. "Reconstruction of Images Taken by a Pair of Non-Regular Sampling Sensors Using Correlation Based Matching." Proceedings of the IEEE International Conference on Image Processing (ICIP), Paris Ed. IEEE, 2014. 2879-2882.

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Last updated on 2019-24-04 at 12:38