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Spectral Evaluation Metric Based on Human Perception |
TIAN Quan-hui1, LIU Shi-wei2, ZHU Ming3, LIU Zhen4 |
1. Lab of Green Platemaking and Standardization for Flexographic Printing, Shanghai Publishing and Printing College, Shanghai 200093, China
2. Department of Printing and Packaging Engineering, Henan University of Animal Husbandry and Economy, Zhengzhou 450011,China
3. Department of Materials and Chemical Engineering, Henan University of Engineering, Zhengzhou 450007, China
4. College of Communication and Art Design, Shanghai University of Science and Technology, Shanghai 200093, China |
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Abstract Reasonable evaluation of spectral color reproduction and chromaticity accuracy is fundamental to evaluate the accurate of spectral reconstruction algorithm. A simple and direct evaluation index is necessary to the color reproduction. This index requires to directly characterize the spectral difference and color difference for color reproduction. Based on the study of the reproduction of the accuracy evaluation on spectral matching, this paper proposes three spectral evaluation metrics based on color visual perception. These methods are weighted spectral evaluation metrics based on human visual function. The results of weighted metrics are analyzed with Munsell color system. These metrics get the uniform distribution and stability in there replication experiment, which proves that weighted metrics are accurate metrics for color spectral reconstruction, and take into account the color perception and spectral similarity. The empirical result is that the weighted metrics indicate the actual human color perception and spectral error at same time.The metrics based on human perception solve the problem of quantitative evaluation of spectral estimation accuracy of natural spectrum matching and color spectral reconstruction.The evaluation methods in this paper show simple and intuitive color spectrum reproduction accuracy.
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Received: 2017-01-12
Accepted: 2017-06-08
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