Fast Spectral-Based Separation of Multispectral Images

作者: Roy S. Berns , Mitchell R. Rosen , Philipp Urban

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摘要: In this paper we present an algorithmic framework for spectral separation of multispectral images. The proposed iterative method inverts the widely used cellular Yule-Nielsen Neugebauer printer model so quickly that inversion can be considered pixel-by-pixel application. Simplification and precalculation make improvements small modifications algorithm significantly reduce computational effort. Using today’s available standard hardware allows high resolution images in reasonable time.

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