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Proceedings Paper

Quantization and multilevel halftoning of color images for near original image quality
Author(s): Ronald S. Gentile; Eric Walowit; Jan P. Allebach
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Paper Abstract

Algorithms are investigated for the printing or display of color images at near original image quality with a minimum number of output colors. Each algorithm consists of a quantizer possibly used in conjunction with haiftoning. We consider both image independent and image dependent quantizers implemented in RGB or in the uniform color space L*u*v*. The halftoning techniques that we use are multilevel extensions of error diffusion and ordered dither. Image quality resulting from use of these algorithms is measured by subjective evaluation.

Paper Details

Date Published: 1 October 1990
PDF: 12 pages
Proc. SPIE 1249, Human Vision and Electronic Imaging: Models, Methods, and Applications, (1 October 1990); doi: 10.1117/12.19675
Show Author Affiliations
Ronald S. Gentile, Purdue Univ. (United States)
Eric Walowit, Mead Imaging (United States)
Jan P. Allebach, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 1249:
Human Vision and Electronic Imaging: Models, Methods, and Applications
Bernice E. Rogowitz; Jan P. Allebach, Editor(s)

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