Spectral Image Color Separation Algorithm Based on Cellular Yule-Nielson Spectral Neugebauer Model
Spectral Neugebauer has become a focus because the model has specific physical meaning among all the spectral characteristic model of output devices. In order to improve the precision of the model, Spectral Neugebauer was modified by cell-element and Yule-Nielson exponent, which is called the Cellular Yule-Nielson Spectral Neugebauer (abbreviated as CYNSN). Although CYNSN forward model accuracy is high, but the precision and the efficiency of reverse model (that is, spectral image color separation model) is low. Arming to CYNSN reverse model(spectral image color separation), an adaptive CYNSN reverse model was proposed in this article. Compared with the existing model, the experimental results show that the proposed adaptive spectral color separation model has the same accuracy with the existing model, but efficiency has a great improvement, can achieve about 12.83 times as many of the existing model.
KeywordsSpectral image separation CYNSN Adaptive Reverse model
This study was supported by the National Natural Science Foundation of China (no. 61301231).
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