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Least-squares model-based halftoning
1992
Human Vision, Visual Processing, and Digital Display III
A least-squares model-based (LSMB) approach to digital halftoning is proposed. It exploits both a printer model and a model for visual perception. It attempts to produce an optimal halftoned reproduction, by minimizing the squared error between the response of the cascade of the printer and visual models to the binary image and the response of the visual model to the original gray-scale image. It has been shown that the one-dimensional (1-D) least-squares problem, in which each row or column of
doi:10.1117/12.135965
fatcat:knpqspesgjgk3n3jtobdd2p3aq