000825739 000__ 05209cam\a2200553Ii\4500 000825739 001__ 825739 000825739 005__ 20230306144231.0 000825739 006__ m\\\\\o\\d\\\\\\\\ 000825739 007__ cr\cn\nnnunnun 000825739 008__ 180118s2018\\\\si\a\\\\ob\\\\100\0\eng\d 000825739 020__ $$a9789811076299$$q(electronic book) 000825739 020__ $$a9811076294$$q(electronic book) 000825739 020__ $$z9789811076282 000825739 035__ $$aSP(OCoLC)on1019870979 000825739 035__ $$aSP(OCoLC)1019870979 000825739 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dGW5XE$$dEBLCP$$dOCLCF$$dUAB$$dMERER$$dOCLCQ 000825739 049__ $$aISEA 000825739 050_4 $$aZ246 000825739 08204 $$a686.22$$223 000825739 1112_ $$aConference of the International Circle of Educational Institutes for Graphics Arts Technology and Management$$n(49th :$$d2017 :$$cBeijing, China) 000825739 24510 $$aApplied sciences in graphic communication and packaging :$$bproceedings of 2017 49th Conference of the International Circle of Educational Institutes for Graphic Arts Technology and Management & 8th China Academic Conference on Printing and Packaging /$$cPengfei Zhao, Yun Ouyang, Min Xu, Li Yang, Yuhui Ren, editors. 000825739 264_1 $$aSpringer :$$bSpringer,$$c2018. 000825739 300__ $$a1 online resource :$$bcolor illustrations. 000825739 336__ $$atext$$btxt$$2rdacontent 000825739 337__ $$acomputer$$bc$$2rdamedia 000825739 338__ $$aonline resource$$bcr$$2rdacarrier 000825739 4901_ $$aLecture notes in electrical engineering ;$$vvolume 447 000825739 504__ $$aIncludes bibliographical references. 000825739 5050_ $$aIntro; 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 PearsonĂ¢#x80;#x99;s Correlation Coefficient Analysis; 3.2 Combinations of Color Quality Metrics; 4 Conclusions 000825739 5058_ $$aAcknowledgementsReferences; 2 Comparison Between Models, Measurement Instruments, and Testing Datasets for Display Characterization; Abstract; 1 Introduction; 2 Method; 2.1 Measurement Conditions; 2.2 Color Characteristics; 3 Display Characterizations; 3.1 1D Methods; 3.2 3D Methods; 3.3 Hybrid Method; 4 Evaluations; 4.1 Model Performance; 4.2 Instrumental Performance; 4.3 Testing Dataset Performance; 5 Conclusions; References; 3 Study on the Relation Between Smartphone Icons with Negative Emotion and Color Influence Factors; Abstract; 1 Introduction; 2 Choice of Color Preference Factors 000825739 5058_ $$a3 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 000825739 5058_ $$a5 Performance Comparison of Uniform Color Spaces by Integrating into a Tone Mapping OperatorAbstract; 1 Introduction; 2 Method; 3 Results and Discussions; 4 Conclusions; References; 6 Spectral Image Color Separation Algorithm Based on Cellular Yule-Nielson Spectral Neugebauer Model; Abstract; 1 Introduction; 2 The CYNSN Forward Model; 3 The Adaptive Cell Search Algorithm; 3.1 Searching Initial Cell; 3.2 Searching the Optimal Cell; 3.3 Expanding the Initial Cell; 4 Experiments and Analysis; 4.1 The Optimal Value of N-Factor; 4.2 Backward CYNSN Model and Model Evaluation; 5 Conclusions 000825739 5058_ $$aAcknowledgementsReferences; 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 000825739 506__ $$aAccess limited to authorized users. 000825739 588__ $$aOnline resource; title from PDF title page (viewed January 24, 2018) 000825739 650_0 $$aGraphic design (Typography)$$vCongresses. 000825739 650_0 $$aGraphic arts$$vCongresses. 000825739 650_0 $$aPackaging$$xDesign$$vCongresses. 000825739 7001_ $$aZhao, Pengfei,$$eeditor. 000825739 7001_ $$aOuyang, Yun,$$eeditor. 000825739 7001_ $$aXu, Min,$$eeditor. 000825739 7001_ $$aYang, Li,$$eeditor. 000825739 7001_ $$aRen, Yuhui,$$eeditor. 000825739 7112_ $$aChina Academic Conference on Printing and Packaging$$n(8th :$$d2017 :$$cBeijing, China) 000825739 830_0 $$aLecture notes in electrical engineering ;$$vv. 447. 000825739 852__ $$bebk 000825739 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-7629-9$$zOnline Access$$91397441.1 000825739 909CO $$ooai:library.usi.edu:825739$$pGLOBAL_SET 000825739 980__ $$aEBOOK 000825739 980__ $$aBIB 000825739 982__ $$aEbook 000825739 983__ $$aOnline 000825739 994__ $$a92$$bISE