Intro; Preface; 2017 49th Conference of the International Circle of Educational Institutes for Graphic Arts, Technology and Management & 8th China Academic Conference on Printing and Packaging; Sponsors; Support; Organizers; Co-Sponsors; Conference Executive Committee; Conference Academic Committee; Contents; Color Science and Technology; 1 Correlation Between Color Quality Metric and Color Preference of Light Source; Abstract; 1 Introduction; 2 Experiment; 3 Results and Discussion; 3.1 Pearsonâ#x80;#x99;s Correlation Coefficient Analysis; 3.2 Combinations of Color Quality Metrics; 4 Conclusions

AcknowledgementsReferences; 2 Comparison Between Models, Measurement Instruments, and Testing Datasets for Display Characterization; Abstract; 1 Introduction; 2 Method; 2.1 Measurement Conditions; 2.2 Color Characteristics; 3 Display Characterizations; 3.1 1D Methods; 3.2 3D Methods; 3.3 Hybrid Method; 4 Evaluations; 4.1 Model Performance; 4.2 Instrumental Performance; 4.3 Testing Dataset Performance; 5 Conclusions; References; 3 Study on the Relation Between Smartphone Icons with Negative Emotion and Color Influence Factors; Abstract; 1 Introduction; 2 Choice of Color Preference Factors

3 Experiment Design and Data Analysis3.1 Experimental Method Design; 3.2 Data Analysis and Results; 4 Conclusions; Acknowledgements; References; 4 Relationship of Different Scales for Evaluating the Quality of LED Lighting; Abstract; 1 Introduction; 2 Experiment; 2.1 Environment; 2.2 Objects and Observers; 2.3 Scales; 2.4 Procedure; 3 Result and Discussion; 3.1 Gender Difference; 3.2 Impact of CCT in the Museum; 3.3 Factor Analysis; 3.3.1 Object Difference; 3.3.2 Factor Extraction; 3.3.3 Coordinate Determination; 4 Conclusions; Acknowledgements; References

5 Performance Comparison of Uniform Color Spaces by Integrating into a Tone Mapping OperatorAbstract; 1 Introduction; 2 Method; 3 Results and Discussions; 4 Conclusions; References; 6 Spectral Image Color Separation Algorithm Based on Cellular Yule-Nielson Spectral Neugebauer Model; Abstract; 1 Introduction; 2 The CYNSN Forward Model; 3 The Adaptive Cell Search Algorithm; 3.1 Searching Initial Cell; 3.2 Searching the Optimal Cell; 3.3 Expanding the Initial Cell; 4 Experiments and Analysis; 4.1 The Optimal Value of N-Factor; 4.2 Backward CYNSN Model and Model Evaluation; 5 Conclusions

AcknowledgementsReferences; 7 The Spectral Characterizing Model Based on Optimized RBF Neural Network for Digital Textile Printing; Abstract; 1 Introduction; 2 Algorithm Principles; 2.1 RBF Neural Network; 2.2 The Optimal Input; 2.3 Spectral Characterizing Model; 3 Experiments; 4 Results and Discussion; 4.1 The Chroma Characteristics; 4.2 Spectral Error and Color Error Characteristics; 5 Conclusions; References; 8 A Novel Halftone Dot Prediction Model Based on BP Neural Network; Abstract; 1 Introduction; 2 Our Approach; 2.1 Preparation; 2.2 Experiments