HDR Images via IIIF Image API

Device displays have made progress the last decade, starting with ever increasing pixel densities, the focus has shifted to more colors (color spaces) and increased brightness. These developments allow the display of HDR content and browsers are also gradually supporting displaying it. What is not unusual for YouTube videos, can now also be used for images: Either to increase immersion, i.e. to make a cultural artefact more interesting, or to support scientific visualization. This presentation introduces the prototype for an IIIF Image API endpoint with UltraHDR tiles and explains the next steps: There is currently an initiative to specify how such HDR content can be transported via the Image API. In this context, it may also emerge that additional metadata is desirable in the Presentation API.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-14
DOI
https://doi.org/10.5281/zenodo.14168672
Primary Topic
Angiogenesis and VEGF in Cancer
Type
article
Field-Weighted Citation Impact
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article

HDR Images via IIIF Image API

Zenodo (CERN European Organization for Nuclear Research)
Angiogenesis and VEGF in Cancer
article

HDR Images via IIIF Image API

article en

Abstract

Device displays have made progress the last decade, starting with ever increasing pixel densities, the focus has shifted to more colors (color spaces) and increased brightness. These developments allow the display of HDR content and browsers are also gradually supporting displaying it. What is not unusual for YouTube videos, can now also be used for images: Either to increase immersion, i.e. to make a cultural artefact more interesting, or to support scientific visualization. This presentation introduces the prototype for an IIIF Image API endpoint with UltraHDR tiles and explains the next steps: There is currently an initiative to specify how such HDR content can be transported via the Image API. In this context, it may also emerge that additional metadata is desirable in the Presentation API.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 63%
Angiogenesis and VEGF in Cancer
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HDR Images via IIIF Image API · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS