4 April 1997 Applications of a spatial extension to CIELAB
Author Affiliations +
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xuemei Zhang, Joyce E. Farrell, and Brian A. Wandell "Applications of a spatial extension to CIELAB", Proc. SPIE 3025, Very High Resolution and Quality Imaging II, (4 April 1997); doi: 10.1117/12.270048; https://doi.org/10.1117/12.270048
PROCEEDINGS
4 PAGES


SHARE
Advertisement
Advertisement
Back to Top