Autors: Angelov, S. A., Lazarova, M. K. Title: Color Errors Generated Due to Color Space Transformation Keywords: CMYK, color space transformations, color transformation errors, printing industry quality control, RBGAbstract: key challenge in the printing industry is automating quality control for printed materials and ensuring prompt detection of relevant printing defects. Image quality assessment plays a crucial role by allowing comparison between the original digital image and a captured image of the printed result. However, achieving accurate evaluations is complicated by differences in the color spaces used by printers and cameras. This study provides a comparative analysis of several methods for converting between RGB and CMYK color spaces, focusing on the color inaccuracies that can arise during these conversions. References - L. Varepo, A. Brazhnikov, A. Volinsky, I. Nagornova and A. Kondratov, “Control of the offset printing image quality indices,” Journal of Physics: Conference Series, IOP Publishing, vol. 858, no. 1, 2017.
- A. Verikas, J. Lundström, M. Bacauskiene and A. Gelzinis, “Advances in computational intelligence-based print quality assessment and control in offset colour printing,” Expert Systems with Applications, vol. 38, no. 10, 2011, pp.13441-13447.
- V. Senkivskyy, I. Pikh, N. Senkivska, I. Hileta, O. Lytovchenko, and Y. Petyak, “Forecasting assessment of printing process quality,” In S. Babichev, V. Lytvynenko, W. Wójcik, S. Vyshemyrskaya, Eds., Lecture Notes in Computational Intelligence and Decision Making, Advances in Intelligent Systems and Computing, Springer, Cham., vol. 1246, 2020.
- P. M. Nishad, and R. Chezian, “Various colour spaces and color space conversion algorithms”, Journal of Global Research in Computer Science, Volume 4, No. 1, 2013.
- A. Obućina, M. Garić, S. Đurđević, and J. Smailbegović, “High quality printing – Hi-Fi printing”, in International Scientific Journal of Technical Science, vol. 2, no.3, 2017, pp. 38-43.
- K. Lakhwani, P. D. Murarka, and N. Chauhan, “Color space transformation for visual enhancement of noisy color image”, International Journal of ICT and Management, vol. III, no. 2, 2015.
- N. John, A. Viswanath, V. Sowmya, and K.P. Soman, “Analysis of various color space models on effective single image super resolution”, In Intelligent Systems Technologies and Applications, Springer International Publishing, vol. 1, 2016, pp. 529-540.
- B. Pang, S. Zhao, and Y. Liu, “The use of a stable super-resolution generative adversarial network (SSRGAN) on Remote Sensing Images”, in Remote Sensing, vol. 15, no. 20, 2023.
- C. Gómez-Polo, M. P. Muñoz, M. C. Luengo, P. Vicente, P. Galindo, and A. M. Casado, “Comparison of the CIELab and CIEDE2000 color difference formulas”, Journal of Prosthetic Dentistry, vol. 115, no.1, 20166, pp. 5-70.
- G. Sharma, W. Wencheng, and E. Dalal, “The CIEDE2000 color-difference formula: implementation notes, supplementary test data, and mathematical observations”, Color Research and Applications, vol. 30, no. 1, 2005, pp. 21-30.
- https://testimages.org/sampling
- https://github.com/cefothe/color-transformation-analyst
Issue
| 2024 12th International Scientific Conference on Computer Science, COMSCI 2024 - Proceedings, 2024, , https://doi.org/10.1109/COMSCI63166.2024.10778496 |
|