Abstract
Due to the variety of the illuminant-observer devices and different color media, people need to transform the color recorded in a source media into correlated color in another target media. In order to keep the color consistency in different media and achieve high color transform accuracy for digital color reproduction, a polynomial fitting approach based on large scale spectral dataset was proposed. The large scale spectral dataset includes most areas of color gamut and it was partitioned into 12 subsets according to dominant wavelength and excitation purity. The source colorimetric values of each subset were regarded as variate and it was made the variable dimension expansion following some principles. The coefficient matrix could be calculated by the source colorimetric values and the target colorimetric values. The experimental results of the proposed approach showed good transform precision for colorimetric values. So the approach based on polynomial fitting could realize the transformation between different colorimetric values with good performance.
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Acknowledgements
The authors acknowledge the support of the Open Fund of the State Key Laboratory of Pulp and Paper Engineering (grant No. 201528), the Nature Science Foundation of Hubei Province in China (grant No. 2015CFB204), Shenzhen basic research project (grant No. JCYJ20150422150029093) and National Natural Science Foundation of China (grant No. 61505149).
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Xun, Y., Liu, Q., Wan, X., Huang, Z., Cao, G., Wang, H. (2017). Polynomial Fitting Approach for Colorimetric Values Transform Based on Large Scale Spectral Dataset. 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_11
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DOI: https://doi.org/10.1007/978-981-10-3530-2_11
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