Abstract
High-fidelity printing technology appears to make up the main flow of four color printing. The more numbers of the primary color becomes one of the important means to improve the quality of printing. Combined with the lookup table method, this paper builds the high-fidelity printing color model in green color area on the basis of the nonlinear and self-learning characteristics in the BP Neural Network algorithm, introducing in the LM_BP algorithm to improve the traditional BP algorithm. At the same time, we train the model with MATLAB software, testing the model precision and analyzing the error. Based on the analysis of training results, we conclude that although the BP algorithm can meet the expected requirements, the LM_BP algorithm has higher precision and better approximation effect.
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Acknowledgments
This study is supported by Scientific Research Program of Key Laboratory Funded by Shaanxi Provincial Education Department (14JS067).
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She, X., Zhou, S., Zhu, G. (2017). Study on Color Model on Green Gamut Part for High Fidelity Printing. In: Zhao, P., Ouyang, Y., Xu, M., Yang, L., Ouyang, Y. (eds) Advanced Graphic Communications and Media Technologies . PPMT 2016. Lecture Notes in Electrical Engineering, vol 417. Springer, Singapore. https://doi.org/10.1007/978-981-10-3530-2_10
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DOI: https://doi.org/10.1007/978-981-10-3530-2_10
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