Image halftoning using a visual model in error diffusion. Sullivan, J., Miller, R., & Pios, G. J. Opt. Soc. Am. A, 10(8):1714-1723, OSA, 8, 1993. Paper doi abstract bibtex Continued advances in binary image printers have spurred an increased interest in the use of digital image halftoning to generate low-cost images that have the appearance of gray levels. However, at current print resolutions for desktop applications, i.e., 300--400 dots/in. (dpi), the binary noise resulting from halftoning is clearly visible at normal viewing distances. Halftoning algorithms that reduce the visibility of this noise result in smoother gray levels and higher-quality output images. We introduce a new method of gray-level image halftoning that uses visual modeling within the framework of error diffusion to improve the image quality of halftoned images.
@article{Sullivan:1993,
Author = {Sullivan, J. and Miller, R. and Pios, G.},
Date-Added = {2012-08-20 14:38:18 +0000},
Date-Modified = {2012-10-14 20:16:04 +0000},
Doi = {10.1364/JOSAA.10.001714},
Journal = {J. Opt. Soc. Am. A},
Month = {8},
Number = {8},
Pages = {1714-1723},
Publisher = {OSA},
Title = {Image halftoning using a visual model in error diffusion},
Url = {http://josaa.osa.org/abstract.cfm?URI=josaa-10-8-1714},
Volume = {10},
Year = {1993},
Abstract = {Continued advances in binary image printers have spurred an increased interest in the use of digital image halftoning to generate low-cost images that have the appearance of gray levels. However, at current print resolutions for desktop applications, i.e., 300--400 dots/in. (dpi), the binary noise resulting from halftoning is clearly visible at normal viewing distances. Halftoning algorithms that reduce the visibility of this noise result in smoother gray levels and higher-quality output images. We introduce a new method of gray-level image halftoning that uses visual modeling within the framework of error diffusion to improve the image quality of halftoned images.},
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