Camera Raw for High Dynamic Range Workflows
| Autor: | Lars U. Borg, Edward L. Reuss |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
business.industry
Computer science Dynamic range Image quality media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Fidelity computer.file_format Image (mathematics) Range (mathematics) Workflow Camera auto-calibration Computer graphics (images) Media Technology Computer vision Artificial intelligence Image file formats Smart camera Electrical and Electronic Engineering business computer High dynamic range media_common |
| Zdroj: | SMPTE Motion Imaging Journal. 125:28-34 |
| ISSN: | 2160-2492 1545-0279 |
| DOI: | 10.5594/jmi.2016.2569918 |
| Popis: | This paper presents how all camera raw formats work in common and the different approaches used by several vendors to preserve the highest fidelity image information, while managing the large amounts of data required to represent those images. Camera raw workflows provide a variety of techniques to convert the sensor data into RGB image formats suitable for mastering, along with methods for generating a specific “look” to the images. The tremendous dynamic range afforded by a camera raw format permits a wide range of exposure during acquisition, which can be either mapped into the limited standard dynamic range of conventional output image formats or leveraged for use in the new high dynamic range image formats. However, looks and camera specifications can be deceiving, and one must know what is happening within the workflow to obtain the best image quality. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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