The investigation of effects of digital proofing systems used in colour management on print quality with neural networks

Authors:
Erdoğan Köse;Türkün Şahinbaşkan;İnan Güler
Affiliations:
Gazi University, Technical Education Faculty, Printing Department, 06500 Ankara, Turkey;Marmara University, Technical Education Faculty, Printing Department, 34722 İstanbul, Turkey;Gazi University, Technical Education Faculty, Electronics Department, 06500 Ankara, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

Citing 1
Cited 2

Reproducing color images using custom inks

Proceedings of the 25th annual conference on Computer graphics and interactive techniques

Review: Advances in computational intelligence-based print quality assessment and control in offset colour printing

Expert Systems with Applications: An International Journal
Assessing print quality by machine in offset colour printing

Knowledge-Based Systems

Quantified Score

Hi-index	12.05

Visualization

Abstract

The aim of this study is to assist users and to determine how digital proofing systems used in colour management effect print qualities. Also the main theme of this study is to determine the effects of digital proofing systems used in colour management on print quality by artificial neural network (ANN). The R^2 values are obtained 0.99702 and 0.99688 for training data as matte and cuated papers, respectively. Similarly, these values for testing data are 0.994707 and 0.99629, respectively. The ANN approach shows greater accuracy for evaluating colour management. Based on the outputs of the study, ANN model can be used to estimate the effects of digital proofing systems used in colour management on print quality with highly confidence.