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Proceedings Paper

A Comparison Of Techniques For Color Gamut Mismatch Compensation
Author(s): Ronald S. Gentile; Jan P. Allebach; Eric Walowit
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Paper Abstract

Motivated by an increase in aesthetic value and information content, an increasing number of daily activities once performed in monochrome are being converted to color. As a result, the display and printing of color images is becoming an increasingly important topic. An often overlooked limitation of the color display or printing process is that of color gamut mismatch. We investigate both clipping and compression techniques for compensation of one type of color gamut mismatch. Image independent and image dependent algorithms using both linear and nonlinear compression techniques are considered. The lightness, saturation, and hue attributes of color are varied among the techniques in order to better understand in which attributes gamut mismatch errors are least perceptible.

Paper Details

Date Published: 15 August 1989
PDF: 13 pages
Proc. SPIE 1077, Human Vision, Visual Processing, and Digital Display, (15 August 1989); doi: 10.1117/12.952732
Show Author Affiliations
Ronald S. Gentile, Purdue University (United States)
Jan P. Allebach, Purdue University (United States)
Eric Walowit, Mead Imaging (United States)


Published in SPIE Proceedings Vol. 1077:
Human Vision, Visual Processing, and Digital Display
Bernice E. Rogowitz, Editor(s)

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