Paper
7 September 1998 Color halftoning by indexing the visual-optimized dot profiles
YongJun Yoo, Hyun Wook Park
Author Affiliations +
Proceedings Volume 3409, Electronic Imaging: Processing, Printing, and Publishing in Color; (1998) https://doi.org/10.1117/12.324113
Event: SYBEN-Broadband European Networks and Electronic Image Capture and Publishing, 1998, Zurich, Switzerland
Abstract
A new halftoning method for color image is proposed. The proposed algorithm is very simple to implement the halftoning in hardware and software, which indexes the image pixel values to a binary database as proposed by Sullivan et al. The database is a set of dot profiles representing the corresponding gray levels. The dot profiles are sequentially generated from a visual-optimized seed pattern which is well- distributed by contrast sensitivity function (CSF), in order that the dot profiles have the visual-optimality as well as correlation between dot profiles of all gray levels. Circular convolution technique is used for generating the dot profiles so that the periodic blocking artifacts can be reduced. The proposed color halftoning method uses one database which is shared for all color components and can be directly used for monochrome halftoning, but each color component has different indexing scheme with a circularly shifted indexing to reduce the correlation between dot profiles of color components. The simple structure and small memory requirement of the proposed halftoning method make the processing time fast. The halftone image quality of the proposed method is better than that of ordered dither.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
YongJun Yoo and Hyun Wook Park "Color halftoning by indexing the visual-optimized dot profiles", Proc. SPIE 3409, Electronic Imaging: Processing, Printing, and Publishing in Color, (7 September 1998); https://doi.org/10.1117/12.324113
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KEYWORDS
Databases

Image quality

Visualization

Halftones

Binary data

Image filtering

Diffusion

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