Abstract
The Adaptive Iterative Multistage Multichannel halftone algorithm is described as an adaptive, iterative halftone technique based on multichannel, multistage processing of frequency characteristics. The algorithm produces high-quality halftones that exhibit different characteristics of smoothness and sharpness as appropriate for local image content. The desired visual effect is determined in an unsupervised manner in natural images by generating a feature vector at each pixel identifying local frequency characteristics, selecting an error metric at each pixel based on the feature vector information, and minimizing the error weighted by the metric.
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