NDLI: Pareto-optimal formulations for cost versus colorimetric accuracy trade-offs in printer color management

Content Provider	ACM Digital Library
Author	Subbarayan, G. Littlewood, D. J. Drakopoulos, P. A.
Copyright Year	2002
Abstract	Color management for the printing of digital images is a challenging task, due primarily to nonlinear ink-mixing behavior and the presence of redundant solutions for print devices with more than three inks. Algorithms for the conversion of image data to printer-specific format are typically designed to achieve a single predetermined rendering intent, such as colorimetric accuracy. In the present paper we present two CIELAB to CMYK color conversion schemes based on a general Pareto-optimal formulation for printer color management. The schemes operate using a 149-color characterization data set selected to efficiently capture the entire CMYK gamut. The first scheme uses artificial neural networks as transfer functions between the CIELAB and CMYK spaces. The second scheme is based on a reformulation of tetrahedral interpolation as an optimization problem. Characterization data are divided into tetrahedra for the interpolation-based approach using the program Qhull, which removes the common restriction that characterization data be well organized. Both schemes offer user control over trade-off problems such as cost versus reproduction accuracy, allowing for user-specified print objectives and the use of constraints such as maximum allowable ink and maximum allowable $ΔE^{}ab.$ A formulation for minimization of ink is shown to be particularly favorable, integrating both clipping and gamut compression features into a single methodology. Codes developed as applications of these schemes were used to convert several CIELAB Tiff images to CMYK format, providing both qualitative and quantitative verification of the Pareto-optimal approach. Prints of the MacBeth $ColorChecker^{tm}$ chart were accurate within approximately to 3 $ΔE^{}ab$ for in-gamut colors. Modifications to this approach are presented that offer user control over grey component replacement and provide additional options for rendering intent.
Starting Page	132
Ending Page	175
Page Count	44
File Format	PDF
ISSN	07300301
e-ISSN	15577368
DOI	10.1145/508357.508361
Volume Number	21
Issue Number	2
Journal	ACM Transactions on Graphics (TOG)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2002-04-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Artificial Neural Networks CMYK Color Conversion Color Fidelity Color Management Color Matching Color Printing Color Space Transformation Optimization Pareto-optimization Tetrahedral Interpolation
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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