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55‐3: Invited Paper : Delivering Content for HDR
Author(s) -
Brendel Harald
Publication year - 2017
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1002/sdtp.11774
Subject(s) - gamut , high dynamic range , tone mapping , computer science , usable , dynamic range , pixel , computer vision , computer graphics (images) , artificial intelligence , brightness , wide dynamic range , range (aeronautics) , workflow , contrast (vision) , multimedia , engineering , optics , physics , database , aerospace engineering
In 2016, every major manufacturer revealed High Dynamic Range (HDR)‐compatible TVs. The technology promises a major improvement of the quality of images delivered to consumers. The goal of HDR technology is not to simply increase the contrast of existing images but to display more tonal details in the shadows and highlights. In combination with higher brightness levels and a larger color gamut, more realistic and captivating images are created. Current industry standards demand a contrast of 20000:1 or better for HDR displays opposed to about 1000:1 for traditional displays. This raises the requirements for the dynamic range of cameras used to produce HDR content. The ARRI ALEXA camera, released in 2010, is based on a sensor that has a dynamic range (ratio of full‐well capacity to read‐out noise) of approx. 30000:1. This very high range is achieved by a combination of a dual‐gain pixel architecture and an elaborate sensor calibration procedure. Without effective correction of nonuniformities, the usable dynamic range of the complete sensor may be less than the dynamic range of its single pixels. While existing workflows in motion‐picture and digital video are suitable to produce HDR content there are no well‐established procedures for the evaluation of the performance of digital cameras. An outline of such a procedure is proposed.