Super-Resolution for Mixed-Resolution Multiview Image plus Depth Data using a Novel Two-Stage High-Frequency Extrapolation Method for Occluded Areas

Conference contribution


Publication Details

Author(s): Richter T, Seiler J, Schnurrer W, Kaup A
Publication year: 2015
Pages range: 1880-1884
ISSN: 1522-4880


Abstract


Mixed-resolution multiview setups offer great savings in both, costs regarding the equipment acquisition and complexity refering to data transmission and storage. However, for applications like free viewpoint television, high-resolution images are desired from all available camera perspectives. Therefore, high-frequency information of adjacent high-resolution cameras can be used to increase the visual quality of a low-resolution camera perspective. However, due to occlusions, some parts of the scene are invisible in the high-resolution views and cannot be synthesized from the reference images. In this paper, a novel high-frequency extrapolation method is proposed, utilizing additional sampling points pre-estimated by a low-resolution block-matching approach. Averaged over all considered test sets, the proposed method achieves a PSNR gain of 0.94 dB with respect to the unrefined signal extrapolation algorithm.



FAU Authors / FAU Editors

Kaup, Andre Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Richter, Thomas Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Schnurrer, Wolfgang
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Seiler, Jürgen PD Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Richter, T., Seiler, J., Schnurrer, W., & Kaup, A. (2015). Super-Resolution for Mixed-Resolution Multiview Image plus Depth Data using a Novel Two-Stage High-Frequency Extrapolation Method for Occluded Areas. (pp. 1880-1884). Quebec City, CA.

MLA:
Richter, Thomas, et al. "Super-Resolution for Mixed-Resolution Multiview Image plus Depth Data using a Novel Two-Stage High-Frequency Extrapolation Method for Occluded Areas." Proceedings of the 2015 IEEE International Conference on Image Processing (ICIP), Quebec City 2015. 1880-1884.

BibTeX: 

Last updated on 2018-08-08 at 01:30