Combining single-image and multiview super-resolution for mixed-resolution image plus depth data

Richter T, Seiler J, Schnurrer W, Bätz M, Kaup A (2015)

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2015

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 1880-1884

Article Number: 7362702

Event location: Nice FR

ISBN: 9780992862633

DOI: 10.1109/EUSIPCO.2015.7362702

Abstract

In mixed-resolution multiview setups, a scene is captured from various viewpoints with cameras having different spatial resolutions. Compared to full-resolution systems, mixed-resolution setups allow for savings with respect to data transmission, storage, and costs. However, for applications like free viewpoint television, high-quality images are required for all available camera perspectives. Therefore, high-resolution cameras can be used to increase the image quality of a neighboring low-resolution view. Due to occlusions, some parts of the scene are invisible in the high-resolution reference views and thus cannot be directly synthesized from the neighboring perspectives. In this paper, we propose to integrate the idea of single-image super-resolution to better handle occluded areas and thus to improve the super-resolution quality for mixed-resolution multiview images. For a downsampling factor of 4, the proposed method achieves an average gain of 0.53 dB with respect to a comparable multiview super-resolution approach.

Authors with CRIS profile

Thomas Richter Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Jürgen Seiler Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Wolfgang Schnurrer Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Michel Bätz Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

How to cite

APA:

Richter, T., Seiler, J., Schnurrer, W., Bätz, M., & Kaup, A. (2015). Combining single-image and multiview super-resolution for mixed-resolution image plus depth data. In Proceedings of the 23rd European Signal Processing Conference, EUSIPCO 2015 (pp. 1880-1884). Nice, FR: Institute of Electrical and Electronics Engineers Inc..

MLA:

Richter, Thomas, et al. "Combining single-image and multiview super-resolution for mixed-resolution image plus depth data." Proceedings of the 23rd European Signal Processing Conference, EUSIPCO 2015, Nice Institute of Electrical and Electronics Engineers Inc., 2015. 1880-1884.

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