Color Space Transformation from RGB to CIELAB Using Neural Networks

Authors:
Nawar Fdhal;Matthew Kyan;Dimitri Androutsos;Abhay Sharma
Affiliations:
Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada M5B 2K3;Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada M5B 2K3;Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada M5B 2K3;School of Graphic Communications Management, Ryerson University, Toronto, Canada M5B 2K3
Venue:
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2009

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Abstract

Transformations in digital color imaging from RGB to CIELAB are compared between conventional ICC profiles and a newly developed neural network model. The accuracy of the transformations are computed in terms of Delta E and a comparison is made between the ICC profile and a neural network implemented in MATLAB. The transformations are used to characterize and test the color response of an Epson 4800 inkjet printer. A number of data pre-processing techniques are described. The results demonstrate a back propagation Levenberg-Marquardt neural network algorithm with accuracy of 0.28 Delta E for non-training set data.