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.
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Fdhal, N., Kyan, M., Androutsos, D., Sharma, A. (2009). Color Space Transformation from RGB to CIELAB Using Neural Networks. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_97
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DOI: https://doi.org/10.1007/978-3-642-10467-1_97
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