In order to guarantee good colour reproduction, modern printers use very large calibration tables based on the measurement of large sample sets. In this thesis, we aim at establishing an accurate colour prediction model which is able to compute the spectra of theses samples without printing and measuring them. Knowing the halftoning algorithm and the physical properties of the inks and the paper, our model can predict the spectra of printed samples. It was applied to ink-jet printers. We set up a new mathematical formulation which expresses the problem in a more general framework that simplifies calculations and reasoning. Our model combines various phenomena which were treated separately until now. Furthermore, several particular cases lead to classical solutions known in the literature. The new mathematical framework simplifies the study of media composed of superposed uniform layers. We show that the classical Kubelka-Munk problem is solved by computing the exponential of a matrix, and that the case of stratified media with varying absorption and scattering coefficients is addressed using the perturbation method. A refractive surface crossing matrix modelizes multiple internal reflections caused by a change of the refractive index. The Saunderson correction formula can easily be derived from this matrix. Our formulation allows also to handle fluorescence and predicts the spectra of fluorescent inks applied on transparency or on paper. We demonstrate that the mixing of the inks and the sequence in which light passes through the layers have an important influence on the resulting spectrum. Considering halftoned samples, we have generalized Neugebauer's 7-primaries model in order to take an infinite number of primaries into account. This allowed us to split the prediction problem into a geometric aspect and a spectral aspect. The geometrical part is addressed by the use of a large pixel grid on which the ink impacts are simulated, and the spectral part results from the study of superposed uniform layers. In this framework, light scattering is expressed in a probabilistic way and concerns only the geometrical aspect. Using the pixel grid, the computer determines the probability for a photon entering the printed medium through a given ink combination to emerge through another ink combination. If light is scattered only over short distances the algebraic calculation leads to the Murray-Davis equation, and if light is scattered over long distances the calculation leads to the Clapper-Yule relation. The accuracy of our predictions is as good as that of existing models, but our new approach is better due to its generalized framework, its physical base and the elegance of its mathematical formulation.
Esther Amstad, Matteo Hirsch, Alvaro Lino Boris Charlet
Hubert Girault, Andreas Stephan Lesch, Victor Costa Bassetto, Massimo Rosa
Jian Wang, Matthias Finger, Lesya Shchutska, Qian Wang, Matthias Wolf, Varun Sharma, Konstantin Androsov, Jan Steggemann, Leonardo Cristella, Xin Chen, Davide Di Croce, Mingkui Wang, Zhirui Xu, João Miguel das Neves Duarte, Tagir Aushev, Tian Cheng, Yixing Chen, Werner Lustermann, Andromachi Tsirou, Alexis Kalogeropoulos, Andrea Rizzi, Ioannis Papadopoulos, Paolo Ronchese, Thomas Muller, Ho Ling Li, Giuseppe Codispoti, Hua Zhang, Siyuan Wang, Peter Hansen, Daniel Gonzalez, Tao Huang, David Vannerom, Michele Bianco, Kun Shi, Wei Shi, Abhisek Datta, Ji Hyun Kim, Donghyun Kim, Dipanwita Dutta, Zheng Wang, Sanjeev Kumar, Wei Li, Yong Yang, Yi Wang, Ajay Kumar, Ashish Sharma, Georgios Anagnostou, Joao Varela, Csaba Hajdu, Muhammad Ahmad, Ekaterina Kuznetsova, Ioannis Evangelou, Matthias Weber, Muhammad Shoaib, Milos Dordevic, Vineet Kumar, Vladimir Petrov, Francesco Fiori, Quentin Python, Meng Xiao, Hao Liu, Sourav Sen, Viktor Khristenko, Marco Trovato, Gurpreet Singh, Fan Xia, Xiao Wang, Bibhuprasad Mahakud, Jing Li, Rajat Gupta, Lei Feng, Muhammad Waqas, Hui Wang, Seungkyu Ha, Davide Cieri, Maren Tabea Meinhard, Giorgia Rauco, Ali Harb, Benjamin William Allen, Pratyush Das, Miao Hu, Lei Li