Title: <title>Digital halftoning based on color correction using neural network with uniform color samples and vector error diffusion</title>
Abstract: This paper proposes a uniform color sample selection and color halftoning method based on color correction using neural network with a set of uniform color samples and selective vector error diffusion for enhancing color reproduction on a printer. In order to generate uniform color samples in CIELAB color space, a set of uniformly populated color samples in a CIELAB printer gamut and monitor gamut are calculated by LBG (Linde, Buzo, Gray) quantization algorithm. Then, the corresponding device- dependent values of CMY and RGB are estimated by a trained NN, which was temporally trained by a set of uniform samples in the device-dependent spaces.
Publication Year: 1999
Publication Date: 1999-12-21
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 1
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