Abstract
In this paper, we introduce the concept of green-noise-the mid-frequency component of white-noise-and its advantages over blue-noise for digital halftoning. Unlike blue-noise, which creates the illusion of continuous tone by spreading the minority pixels of a binary dither pattern as homogeneously as possible, green-noise forms minority pixel clusters which are themselves distributed as homogeneously as possible. By clustering pixels, green-noise patterns are less susceptible to image degradation from printer distortions such as dot-overlap (the overlapping of a printed dot with its nearest neighbors), and by adjusting the average number of pixels per cluster, green-noise patterns are tunable to specific printer characteristics. Using both spectral and spatial statistics, we establish models for ideal green-noise patterns.
Original language | English |
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Pages | 39-43 |
Number of pages | 5 |
State | Published - 1998 |
Event | Proceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3) - Chicago, IL, USA Duration: Oct 4 1998 → Oct 7 1998 |
Conference
Conference | Proceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3) |
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City | Chicago, IL, USA |
Period | 10/4/98 → 10/7/98 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering