An Analysis on Pixel Redundancy Structure in Equirectangular Images

I. Vazquez, S. Cutchin

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

360° photogrammetry captures the surrounding light from a central point. To process and transmit these types of images over the network to the end user, the most common approach is to project them onto a 2D image using the equirectangular projection to generate a 360° image. However, this projection introduces redundancy into the image, increasing storage and transmission requirements. To address this problem, the standard approach is to use compression algorithms, such as JPEG or PNG, but they do not take full advantage of the visual redundancy produced by the equirectangular projection. In this study of the 360SP dataset (a collection of Google Street View images), we analyze the redundancy in equirectangular images and show how it is structured across the image. Outcomes from our study will support the developing of spherical compression algorithms, improving the immersive experience of Virtual Reality users by reducing loading times and increasing the perceptual image quality.

Original languageAmerican English
Title of host publicationComputer Science Research Notes
StatePublished - 1 Jan 2021

Keywords

  • Virtual Reality
  • equirectangular projection
  • image compression

EGS Disciplines

  • Computer Sciences

Fingerprint

Dive into the research topics of 'An Analysis on Pixel Redundancy Structure in Equirectangular Images'. Together they form a unique fingerprint.

Cite this