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Proceedings Paper

Applications of a spatial extension to CIELAB
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Paper Abstract

We describe computational experiments to predict the perceived quality of multilevel halftone images. Our computations were based on a spatial color difference metric, S-CIELAB, that is an extension of CIELAB, a widely used industry standard. CIELAB predicts the discriminability of large uniform color patches. S-CIELAB includes a pre- processing stage that accounts for certain aspects of the spatial sensitivity to different colors. From simulations applied to multilevel halftone images, we found that (a) for grayscale image, L-spacing of the halftone levels results in better halftone quality than linear-spacing of the levels; (b) for color images, increasing the number of halftone levels for magenta ink results in the most significant improvement in halftone quality. Increasing the number of halftone levels of the yellow ink resulted in the least improvement.

Paper Details

Date Published: 4 April 1997
PDF: 4 pages
Proc. SPIE 3025, Very High Resolution and Quality Imaging II, (4 April 1997); doi: 10.1117/12.270048
Show Author Affiliations
Xuemei Zhang, Stanford Univ. (United States)
Joyce E. Farrell, Hewlett-Packard Labs. (United States)
Brian A. Wandell, Stanford Univ. (United States)

Published in SPIE Proceedings Vol. 3025:
Very High Resolution and Quality Imaging II
V. Ralph Algazi; Sadayasu Ono; Andrew G. Tescher, Editor(s)

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