iPhone12 imagery in scene-referred computer graphics pipelines
- With the release of the Apple iPhone 12 Pro Max in 2020, various features were integrated that make it attractive as a recording device for scene-related computer graphics pipelines. The captured Apple RAW images have a much higher dynamic range than the standard 8-bit images. Since a scene-based workflow naturally has an extended dynamic range (HDR), the Apple RAW recordings can be well integrated. To correctly integrate the iPhone 12 pro Apple RAW data into a scene-related workflow, twoWith the release of the Apple iPhone 12 Pro Max in 2020, various features were integrated that make it attractive as a recording device for scene-related computer graphics pipelines. The captured Apple RAW images have a much higher dynamic range than the standard 8-bit images. Since a scene-based workflow naturally has an extended dynamic range (HDR), the Apple RAW recordings can be well integrated. To correctly integrate the iPhone 12 pro Apple RAW data into a scene-related workflow, two command-line software solutions, among others, are dcraw and rawtoaces. In this paper, we concentrate on dcraw. dcraw offers the possibility to export RAW images directly to ACES2065-1. Different images recorded under different lighting conditions are examined to determine which options for the dcraw development produce the best results. Images from five different lighting situations like D65, D60, D55, D50, and 2980K, are examined. The DNG files are developed using different methods within dcraw. The values of the recorded ColorChecker24 patches are compared to reference values derived from BabelColor [1] and ACES [2].…
Author: | Eberhard Hasche, Oliver Karaschewski, Reiner Creutzburg |
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DOI: | https://doi.org/10.2352/EI.2023.35.3.MOBMU-350 |
Parent Title (English): | Electronic Imaging |
Publisher: | Society for Imaging Science and Technology |
Document Type: | Article |
Language: | English |
Year of Publishing: | 2023 |
Date of Publication (online): | 2024/02/26 |
Publishing Institution: | Technische Hochschule Brandenburg |
Release Date: | 2024/04/23 |
Article Number: | MOBMU-350 |
Page Number: | 14 |
First Page: | 350-1 |
Last Page: | 350-14 |
Institutes: | Fachbereich Informatik und Medien |
University Bibliography: | Hochschulbibliografie |
Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 |