Colorimetrically accurate gray component replacement using the additive model |
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| Institution: | 1. Department of Computer Science, City University of Hong Kong, Hong Kong;2. Department of Computer Science and Engineering, HITEC University, Taxila, Pakistan;3. School of Information Science and Engineering, Shandong University, China;1. School of Electronic Information Engineering, Beihang University, China;2. School of Computer Science and Technology, Tianjin University, China;3. National Engineering Research Center of Turbo-generator Vibration and the School of Energy and Environment, Southeast University, China;4. Air Force Equipment Academy, China;1. Faculty of Military Health Sciences, University of Defense, Brno, Trebesska 1575, 50001 Hradec Kralove, Czech Republic;2. Department of Geology and Pedology, Mendel University in Brno, Czech Republic;1. Dept. of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran;2. Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran;1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;2. School of Computer Science and Technology, Huaqiao University, Xiamen 361021, China;3. Institute of Systems Engineering, Macau University of Science and Technology, Taipa, Macau;4. School of Electro-Mechanical Engineering, Xidian University, Xi’an 710071, China;5. Advanced Manufacturing Institute, King Saud University, Riyadh 11421, Saudi Arabia;6. Industrial Engineering Department, College of Engineering, King Saud University, Saudi Arabia |
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| Abstract: | In four color printing, gray component replacement (GCR) is a method of replacing the achromatic component of a mixture of chromatic inks by a corresponding amount of the achromatic ink. Simple approaches to GCR lead to unacceptable color shifts. In this paper, the method using multiple processing steps is proposed. The novelty of the proposed method is augmentation of masking equations, which allows finding solutions for a pre-set amount of the black ink. The method performance was evaluated and compared with state of the art commercial solution. The experiments have shown that the proposed model is on average capable of achieving 40–55% ink savings with median colorimetric difference of less than 0.3, thus preserving the visual appearance of images. |
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| Keywords: | Gray component replacement Printing process model Ink optimization Radial basis functions 00-01 99-00 |
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