Robust Halftoning with Green-Noise

Daniel L. Lau; Gonzalo R. Arce; Neal C. Gallagher

Robust Halftoning with Green-Noise

Daniel L. Lau, Gonzalo R. Arce, Neal C. Gallagher

Research output: Contribution to conference › Paper › peer-review

15 Scopus citations

Abstract

Green-noise halftoning is a stochastic halftoning technique where the minority pixels of a binary dither pattern form homogeneously distributed pixel clusters. While clustering pixels increases its visibility, green-noise reduces the perimeter-to-area ratio of printed dots, thereby reducing the effects of printer distortions such as dot-gain and dot-loss. Using a stochastic dot model, several techniques are introduced for improving the spatial resolution of error diffusion with output-dependent feedback, a commonly used technique for generating green-noise halftone patterns.

Original language	English
Pages	315-320
Number of pages	6
State	Published - 1999
Event	Final Program and Proceedings: IS and T's 52nd Annual Conference - Savannah, GA, United States Duration: Apr 25 1999 → Apr 28 1999

Conference

Conference	Final Program and Proceedings: IS and T's 52nd Annual Conference
Country/Territory	United States
City	Savannah, GA
Period	4/25/99 → 4/28/99

ASJC Scopus subject areas

General Computer Science
General Engineering

Cite this

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title = "Robust Halftoning with Green-Noise",

abstract = "Green-noise halftoning is a stochastic halftoning technique where the minority pixels of a binary dither pattern form homogeneously distributed pixel clusters. While clustering pixels increases its visibility, green-noise reduces the perimeter-to-area ratio of printed dots, thereby reducing the effects of printer distortions such as dot-gain and dot-loss. Using a stochastic dot model, several techniques are introduced for improving the spatial resolution of error diffusion with output-dependent feedback, a commonly used technique for generating green-noise halftone patterns.",

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year = "1999",

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T1 - Robust Halftoning with Green-Noise

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AU - Arce, Gonzalo R.

AU - Gallagher, Neal C.

PY - 1999

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N2 - Green-noise halftoning is a stochastic halftoning technique where the minority pixels of a binary dither pattern form homogeneously distributed pixel clusters. While clustering pixels increases its visibility, green-noise reduces the perimeter-to-area ratio of printed dots, thereby reducing the effects of printer distortions such as dot-gain and dot-loss. Using a stochastic dot model, several techniques are introduced for improving the spatial resolution of error diffusion with output-dependent feedback, a commonly used technique for generating green-noise halftone patterns.

AB - Green-noise halftoning is a stochastic halftoning technique where the minority pixels of a binary dither pattern form homogeneously distributed pixel clusters. While clustering pixels increases its visibility, green-noise reduces the perimeter-to-area ratio of printed dots, thereby reducing the effects of printer distortions such as dot-gain and dot-loss. Using a stochastic dot model, several techniques are introduced for improving the spatial resolution of error diffusion with output-dependent feedback, a commonly used technique for generating green-noise halftone patterns.

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M3 - Paper

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T2 - Final Program and Proceedings: IS and T's 52nd Annual Conference

Y2 - 25 April 1999 through 28 April 1999

ER -

Robust Halftoning with Green-Noise

Abstract

Conference

ASJC Scopus subject areas

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