Authors:
Hua Li
and
David Mould
Affiliation:
Carleton University, Canada
Keyword(s):
Screening, Contrast-aware Halftoning, Pattern assignment, Error Diffusion, Non-photorealistic rendering.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Fundamental Methods and Algorithms
;
Geometry and Modeling
;
Image-Based Modeling
;
Non-Photorealistic Rendering, Painting-Like Rendering, Drawing
;
Pattern Recognition
;
Rendering
;
Rendering Algorithms
;
Software Engineering
Abstract:
Traditional methods produced unsatisfactory uniform screening. Often additional tones are added to improve the quality of tone and structure. In this paper, we try to produce screening with diverse patterns and with natural structure preservation while still using only one color of ink. We propose several extensions to contrast-aware halftoning including new weight distributions and variations on the priority-based scheme. Patterns can be generated by excluding pixels in a purposeful way and by organizing different groups of input edges based on user interest. Segmented regions are assigned different patterns, based on statistical measurements of the content of each region. Our method can automatically and efficiently produce effective screening with a lot of flexibility and without artifacts from segmentation or false edges.