Back to articles
Articles
Volume: 31 | Article ID: art00019
Image
Refining ACES Best Practice
  DOI :  10.2352/ISSN.2470-1173.2019.14.COLOR-097  Published OnlineJanuary 2019
Abstract

ACES is the Academy Color Encoding System established by the Academy of Motion Picture Arts and Science (A.M.P.A.S). Since its introduction (version 1.0 in December 2014), it has been widely used in the film industry. The interaction of four modules makes the system flexible and leaves room for own developments and modifications. Nevertheless, improvements are possible for various practical applications. This paper analyzes some of the problems frequently encountered in practice in order to identify possible solutions. These include improvements in importing still images, white point conversions problems and test lighting. The results should be applicable in practice and take into account above all the workflow with commercially available software programs. The goal of this paper is to record the spectral distribution of a GretagMacbeth ColorChecker using a spectrometer and also photography it with different cameras like RED Scarlet M-X, Blackmagic URSA Mini Pro and Canon EOS 5D Mark III under the same lighting conditions. The recorded imagery is then converted to the ACES2065-1 color space. The positions of the patches of the ColorChecker in CIE Yxy color space are then compared to the positions of the patches captured by the spectral device. Using several built-in converters the goal is to match the positions of the spectral data as close as possible

Subject Areas :
Views 10
Downloads 1
 articleview.views 10
 articleview.downloads 1
  Cite this article 

Eberhard Hasche, Oliver Karaschewski, Reiner Creutzburg, "Refining ACES Best Practicein Proc. IS&T Int’l. Symp. on Electronic Imaging: Color Imaging XXIV: Displaying, Processing, Hardcopy, and Applications,  2019,  pp 97-1 - 97-21,  https://doi.org/10.2352/ISSN.2470-1173.2019.14.COLOR-097

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2019
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA