An accurate printer model that is efficient enough to be used in halftoning applications is proposed. The printer model utilizes a physical model to train Adaptive Linear Combiners (ALCs), after which the average exposure of each pixel for any input pattern can be calculated using the optimized weight vector. The average exposure is then converted to the corresponding potential, which is rendered as an 8-bit grayscale image using the arctangent function. Scanned printouts and model outputs of various test images are presented.This grayscale rendering method can be used to model pulse width modulation for template-based applications. Grayscale images from the model using laser pulse width modulated input images with different sets of templates are presented with measurements. Grayscale images from the model very closely resemble scanned images.
Jang Yi, Richard B. Wells, George Kerby, "Efficient Grayscale Rendering of Large Images Using a Signal Processing Model and the Arctangent Function" in Proc. IS&T Int'l Conf. on Digital Printing Technologies (NIP19), 2003, pp 830 - 835, https://doi.org/10.2352/ISSN.2169-4451.2003.19.1.art00092_2