Paper
15 April 1994 Error analysis of look-up-table implementations in device-independent color imaging systems
Eddie Jennings, R. D. Holland, C. C. Lee
Author Affiliations +
Proceedings Volume 2170, Device-Independent Color Imaging; (1994) https://doi.org/10.1117/12.173860
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States
Abstract
In device-independent color imaging systems, it is necessary to relate device color coordinates to and from standard colorimetric or appearance based color spaces. Such relationships are determined by mathematical modeling techniques with error estimates commonly quoted with the CIELAB (Delta) E metric. Due to performance considerations, a lookup table (LUT) is commonly used to approximate the model. LUT approximation accuracy is affected by the number of LUT entries, the distribution of the LUT data, and the interpolation technique used (full linear interpolation using cubes or hypercubes versus partial linear interpolation using tetrahedrons or hypertetrahedrons). Error estimates of such LUT approximations are not widely known. An overview of the modeling process and lookup table approximation technique is given with a study of relevant error analysis techniques. The application of such error analyses is shown for two common problems (converting scanner RGB and prepress proofing CMYK color definitions to CIELAB). In each application, (Delta) E statistics are shown for LUTs based on the above contributing factors. An industry recommendation is made for a standard way of communicating error information about interpolation solutions that will be meaningful to both vendors and end users.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eddie Jennings, R. D. Holland, and C. C. Lee "Error analysis of look-up-table implementations in device-independent color imaging systems", Proc. SPIE 2170, Device-Independent Color Imaging, (15 April 1994); https://doi.org/10.1117/12.173860
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Cited by 2 scholarly publications and 1 patent.
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KEYWORDS
RGB color model

Mathematical modeling

Calibration

Error analysis

CMYK color model

Scanners

Imaging systems

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