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Open Access Vector Multilevel Tone-Dependent Error Diffusion in the YyCxCz Color Space

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In this paper, we present a tone-dependent fast error diffusion algorithm for color images, in which the quantizer is based on a simulated linearized printer space and the filter weight function depends on the ratio of the luminance of the current pixel to the maximum luminance value. The pixels are processed according to a serpentine scan instead of the classic raster scan. We compare the results of our algorithm to those achieved using the fixed Floyd-Steinberg weights and processing the image according to a raster scan ordering.
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Keywords: Neugebauer Primary Area Coverage; Tone-Dependent Fast Error Diffusion; error diffusion

Document Type: Research Article

Publication date: January 13, 2019

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