Color Space Transformation from RGB to CIELAB Using Neural Networks
نویسندگان
چکیده
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 preprocessing 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.
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