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Digital color halftoning with generalized error diffusion and multichannel green-noise masks
D L Lau1, G R Arce, N C Gallagher
1Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA. lau@ece.udel.edu
Summary
This study presents two new digital color halftoning methods using green-noise patterns. These techniques improve color control by regulating pixel cluster overlap, offering tunable solutions for various printer dot-gain characteristics.
Area of Science:
- Digital imaging
- Color science
- Computer graphics
Background:
- Digital color halftoning aims to reproduce continuous-tone images using a limited set of colors.
- Traditional methods can struggle with color accuracy and artifact control, especially with varying printer characteristics.
- Green-noise stochastic dither patterns offer potential for improved texture and reduced artifacts.
Purpose of the Study:
- To introduce two novel digital color halftoning techniques utilizing green-noise patterns.
- To enhance color control by managing the overlap of minority pixel clusters.
- To provide tunable solutions adaptable to different printer dot-gain characteristics.
Main Methods:
- Developed an error diffusion technique with output-dependent feedback, incorporating an interference term to regulate color pixel overlap.
- Designed a green-noise mask (dither array) specifically engineered to control the overlapping of different colored pixels.
- Ensured both methods are tunable for printers with high and low dot-gain characteristics.
Main Results:
- Both introduced techniques successfully generate green-noise halftone patterns.
- The methods effectively regulate the overlapping of pixels of different colors, leading to improved color control.
- Tunability allows adaptation to printers with varying dot-gain, from high to low.
Conclusions:
- The novel error diffusion and green-noise mask techniques offer advanced digital color halftoning solutions.
- These methods provide enhanced color control and adaptability for diverse printing applications.
- The introduced techniques represent a significant advancement in stochastic dithering for color imaging.
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