360 Panorama Super-resolution using Deep Convolutional Networks

Vida Fakour-Sevom, Esin Guldogan, Joni-Kristian Kämäräinen

Abstract

We propose deep convolutional neural network (CNN) based super-resolution for 360 (equirectangular) panorama images used by virtual reality (VR) display devices (e.g. VR glasses). Proposed super-resolution adopts the recent CNN architecture proposed in (Dong et al., 2016) and adapts it for equirectangular panorama images which have specific characteristics as compared to standard cameras (e.g. projection distortions). We demonstrate how adaptation can be performed by optimizing the trained network input size and fine-tuning the network parameters. In our experiments with 360 panorama images of rich natural content CNN based super-resolution achieves average PSNR improvement of 1.36 dB over the baseline (bicubic interpolation) and 1.56 dB by our equirectangular specific adaptation.

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Paper Citation


in Harvard Style

Fakour-Sevom V., Guldogan E. and Kämäräinen J. (2018). 360 Panorama Super-resolution using Deep Convolutional Networks.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-290-5, pages 159-165. DOI: 10.5220/0006618901590165


in Bibtex Style

@conference{visapp18,
author={Vida Fakour-Sevom and Esin Guldogan and Joni-Kristian Kämäräinen},
title={360 Panorama Super-resolution using Deep Convolutional Networks},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2018},
pages={159-165},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006618901590165},
isbn={978-989-758-290-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - 360 Panorama Super-resolution using Deep Convolutional Networks
SN - 978-989-758-290-5
AU - Fakour-Sevom V.
AU - Guldogan E.
AU - Kämäräinen J.
PY - 2018
SP - 159
EP - 165
DO - 10.5220/0006618901590165