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Proceedings Paper

Halftone image quality analysis based on a human vision model
Author(s): Qian Lin
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Paper Abstract

The perceived quality of a printed image depends on the halftone algorithm and the printing process. This paper proposes a new method of analyzing halftone image quality in the frequency domain based on a human vision model. First, the Fourier transform characteristics of a dithered image are reviewed. Several commonly used dither algorithms, including clustered-dot dither and dispersed-dot dither, are evaluated based on their Fourier transform characteristics. Next, images halftoned with the dither algorithms and the Floyd-Steinberg error diffusion algorithm are compared in the frequency domain. Factors affecting printed image quality in a printing process are also discussed. Finally, a perception-based halftone image distortion measure is proposed. This measure reflects the quality of a halftone image printed on an ideal bi-level device and viewed at a particular distance. The halftone algorithms are ranked according to the proposed distortion measure. The effects of using human visual models with different peak sensitivity frequencies are examined.

Paper Details

Date Published: 8 September 1993
PDF: 12 pages
Proc. SPIE 1913, Human Vision, Visual Processing, and Digital Display IV, (8 September 1993); doi: 10.1117/12.152712
Show Author Affiliations
Qian Lin, Hewlett-Packard Labs. (United States)

Published in SPIE Proceedings Vol. 1913:
Human Vision, Visual Processing, and Digital Display IV
Jan P. Allebach; Bernice E. Rogowitz, Editor(s)

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