| Title: | An Analysis on Pixel Redundancy Structure in Equirectangular Images |
| Authors: | Vazquez, I. Cutchin, S. |
| Citation: | WSCG 2021: full papers proceedings: 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 51-58. |
| Issue Date: | 2021 |
| Publisher: | Václav Skala - UNION Agency |
| Document type: | conferenceObject konferenční příspěvek |
| URI: | http://hdl.handle.net/11025/45009 |
| ISBN: | 978-80-86943-34-3 |
| ISSN: | 2464-4617 2464–4625(CD/DVD) |
| Keywords: | komprese obrazu;ekvirektangulární projekce;virtuální realita |
| Keywords in different language: | image compression;equirectangular projection;virtual reality |
| Abstract in different language: | 360◦photogrammetry captures the surrounding light from a central point. To process and transmit these types ofimages over the network to the end user, the most common approach is to project them onto a 2D image usingthe equirectangular projection to generate a 360◦image. However, this projection introduces redundancy into theimage, increasing storage and transmission requirements. To address this problem, the standard approach is touse compression algorithms, such as JPEG or PNG, but they do not take full advantage of the visual redundancyproduced by the equirectangular projection. In this study of the 360SP dataset (a collection of Google StreetView images), we analyze the redundancy in equirectangular images and show how it is structured across theimage. Outcomes from our study will support the developing of spherical compression algorithms, improvingthe immersive experience of Virtual Reality users by reducing loading times and increasing the perceptual imagequality. |
| Rights: | © Václav Skala - UNION Agency |
| Appears in Collections: | WSCG 2021: Full Papers Proceedings |
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