Back to articles
Articles
Volume: 1 | Article ID: art00010
Image
Color Mapping Using Neural Networks
  DOI :  10.2352/CIC.1993.1.1.art00010  Published OnlineJanuary 1993
Abstract

Color devices such as scanners, printers and CRTs have device specific coordinate systems. It is desirable to be able to produce mappings between the coordinate system of a particular device and a device independent coordinate system that closely approximates human perception. In this way, color coordinates can easily be specified, transformed, or transported between various input and output devices. Mappings between color coordinate spaces can be achieved by function restoration, when a number of input-output samples of the mapping are available. Feed-forward multi-layer neural network have been shown to be able to perform non-linear non-parametric functional restoration, as is the case with color coordinate mapping. This type of network was used to map the Lab coordinate space onto the RGB coordinate space of an actual and a computer modeled dye sublimation printer. A neuron activation function, is introduced herein, which has advantages that would be useful to function restoration problems such as color mapping. The effectiveness of this model is tested by observing the error between the model's prediction and the ideal correct output on a number of known samples.

Subject Areas :
Views 4
Downloads 0
 articleview.views 4
 articleview.downloads 0
  Cite this article 

D. Adkins, V. S. Cherkassky, E. S. Olson, "Color Mapping Using Neural Networksin Proc. IS&T 1st Color and Imaging Conf.,  1993,  pp 45 - 48,  https://doi.org/10.2352/CIC.1993.1.1.art00010

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 1993
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA