Multiview Super-Resolution Using High-Frequency Synthesis in Case of Temporally Subsampled Depth Information

Richter T, Kaup A (2012)


Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2012

Pages Range: 1-6

Article Number: 6410742

Event location: San Diego, CA US

ISBN: 9781467344050

DOI: 10.1109/VCIP.2012.6410742

Abstract

Increasing the image sharpness of low-resolution views is a key issue in the multiview image and video processing domain. Thereby, a low-resolution view gets refined by high-frequency content that can either be obtained from temporally or spatially adjacent highresolution reference images. We propose a refined super-resolution algorithm for multiview images that is robust to the usage of temporally highly misaligned depth maps. The temporal misalignment may be caused either by a temporal subsampling or a lower framerate of the depth camera with respect to the image cameras. Our refinement step is based on a blockwise low-frequency registration in order to efficiently adapt the high-frequency content of the highresolution reference to the low-resolution destination view. The simulation results show that our proposed algorithm leads to a peak PSNR gain of up to 1.21 dB with respect to a comparable unrefined super-resolution approach. On average, our approach outperforms the unrefined super-resolution algorithm by 0.61 dB. For all considered scenarios the improvement of visual quality is also convincingly. © 2012 IEEE.

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How to cite

APA:

Richter, T., & Kaup, A. (2012). Multiview Super-Resolution Using High-Frequency Synthesis in Case of Temporally Subsampled Depth Information. In Proceedings of the 2012 IEEE Visual Communications and Image Processing, VCIP 2012 (pp. 1-6). San Diego, CA, US.

MLA:

Richter, Thomas, and André Kaup. "Multiview Super-Resolution Using High-Frequency Synthesis in Case of Temporally Subsampled Depth Information." Proceedings of the 2012 IEEE Visual Communications and Image Processing, VCIP 2012, San Diego, CA 2012. 1-6.

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