Lecture: LFC-SASR: Light Field Coding Using Spatial and Angular Super-Resoluti...
Master data
Title: | LFC-SASR: Light Field Coding Using Spatial and Angular Super-Resolution |
Description: | Light field imaging enables post-capture actions such as refocusing and changing view perspective by capturing both spatial and angular information. However, capturing richer information of the 3D scene results in a huge amount of data. To improve the compression efficiency of the existing light field compression methods, we investigate the impact of light field super-resolution approaches (both spatial and angular super-resolution) on the compression efficiency. To this end, firstly, we downscale light field images over (i) spatial resolution, (ii) angular resolution, and (iii) spatial-angular resolution and encode them using Versatile Video Coding (VVC). We then apply a set of light field super-resolution deep neural networks to reconstruct light field images in their full spatial-angular resolution and compare their compression efficiency. Experimental results show that encoding the low angular resolution light field image and applying angular super-resolution yield bitrate savings of 51.16% and 53.41% to maintain the same PSNR and SSIM, respectively, compared to encoding the light field image in high-resolution. |
Keywords: | Light field, Compression, Super-resolution, VVC |
Type: | Registered lecture |
Homepage: | https://2022.ieeeicme.org/ |
Event: | IEEE International Conference on Multimedia and Expo (IEEE ICME 2022) (Taipei) |
Date: | 22.07.2022 |
lecture status: | stattgefunden (online) |
Participants
Ekrem Cetinkaya (internal) |
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Hadi Amirpourazarian (internal) |
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Christian Timmerer (internal) |
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Assignment
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Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
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AT - 9020 Klagenfurt am Wörthersee |
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