The PLVC display color characterization model revisited

2008 ◽  
Vol 33 (6) ◽  
pp. 449-460 ◽  
Author(s):  
Jean-Baptiste Thomas ◽  
Jon Y. Hardeberg ◽  
Irène Foucherot ◽  
Pierre Gouton
Keyword(s):  
Characterization Model ◽  
Color Characterization

scholarly journals An inverse display color characterization model based on an optimized geometrical structure

2008 ◽  
Author(s):  
Jean-Baptiste Thomas ◽  
Philippe Colantoni ◽  
Jon Y. Hardeberg ◽  
Irène Foucherot ◽  
Pierre Gouton
Keyword(s):  
Geometrical Structure ◽  
Model Based ◽  
Characterization Model ◽  
Color Characterization

Universal color characterization model for all types of displays

2015 ◽  
Vol 54 (10) ◽  
pp. 103103
Author(s):  
Jong-Man Kim ◽  
Seung-Woo Lee
Keyword(s):  
Characterization Model ◽  
Color Characterization

Research on Color Characterization Model for Multi-Level and Multi-Color Printing System

2013 ◽  
Vol 433-435 ◽  
pp. 1025-1032
Author(s):  
Sheng Wei Yang ◽  
Liang Lu ◽  
Ming Guang Wu ◽  
Zhen Jie Zhang
Keyword(s):  
Model Evaluation ◽  
High Fidelity ◽  
Level Control ◽  
Color Gamut ◽  
Characterization Model ◽  
Dynamic Cell ◽  
Printing System ◽  
Color Printing ◽  
Multi Level ◽  
Color Characterization

Color characterization model for multi-color printing system has become one of the most important research content in high-fidelity reproduction techniques. But, none of the related research considered the effect of multi-level control on color characterization. A color characterization model for multi-level and multi-color printing system was presented based on cellular Yule-Nielson Spectral Neugebauer (CYNSN) model. In the model, multi-level dynamic cell division method based on ink coverage-lightness curve of each level was proposed. Shared regional correction and cell searching algorithm were introduced into backward characterization model establishment which improve the performance of backward model significantly. Finally, the experiments of color gamut discussion, forward model evaluation and backward model evaluation indicate that the characterization model expands the color gamut of printing system, in the meantime, guarantees high conversion accuracy.

scholarly journals Full-chain modeling and performance analysis of integral imaging three-dimensional display system

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Ying Yuan ◽  
Xiaorui Wang ◽  
Yang Yang ◽  
Hang Yuan ◽  
Chao Zhang ◽  
...  
Keyword(s):  
Optimization Design ◽  
Quality Evaluation ◽  
Light Field ◽  
Three Dimensional ◽  
Display System ◽  
3D Display ◽  
Performance Characterization ◽  
Integral Imaging ◽  
Characterization Model ◽  
Display Quality

Abstract The full-chain system performance characterization is very important for the optimization design of an integral imaging three-dimensional (3D) display system. In this paper, the acquisition and display processes of 3D scene will be treated as a complete light field information transmission process. The full-chain performance characterization model of an integral imaging 3D display system is established, which uses the 3D voxel, the image depth, and the field of view of the reconstructed images as the 3D display quality evaluation indicators. Unlike most of the previous research results using the ideal integral imaging model, the proposed full-chain performance characterization model considering the diffraction effect and optical aberration of the microlens array, the sampling effect of the detector, 3D image data scaling, and the human visual system, can accurately describe the actual 3D light field transmission and convergence characteristics. The relationships between key parameters of an integral imaging 3D display system and the 3D display quality evaluation indicators are analyzed and discussed by the simulation experiment. The results will be helpful for the optimization design of a high-quality integral imaging 3D display system.

scholarly journals Three-Dimensional Site Characterization Model of Bangalore Using Support Vector Machine

2012 ◽  
Vol 2012 ◽  
pp. 1-10
Author(s):  
Pijush Samui
Keyword(s):  
Support Vector Machine ◽  
Three Dimensional ◽  
Site Characterization ◽  
Standard Penetration Test ◽  
Support Vector ◽  
Characterization Model ◽  
Svm Model ◽  
Input Variables ◽  
Learning Machine ◽  
A Site

The main objective of site characterization is the prediction of in situ soil properties at any half-space point at a site based on limited tests. In this study, the Support Vector Machine (SVM) has been used to develop a three dimensional site characterization model for Bangalore, India based on large amount of Standard Penetration Test. SVM is a novel type of learning machine based on statistical learning theory, uses regression technique by introducing ε-insensitive loss function. The database consists of 766 boreholes, with more than 2700 field SPT values () spread over 220 sq km area of Bangalore. The model is applied for corrected () values. The three input variables (, , and , where , , and are the coordinates of the Bangalore) were used for the SVM model. The output of SVM was the data. The results presented in this paper clearly highlight that the SVM is a robust tool for site characterization. In this study, a sensitivity analysis of SVM parameters (σ, , and ε) has been also presented.

scholarly journals Feature of Echo Envelope Fluctuation and Its Application in the Discrimination of Underwater Real Echo and Synthetic Echo

2018 ◽  
Vol 8 (8) ◽  
pp. 1329
Author(s):  
Yunfei Chen ◽  
Sheng Li ◽  
Bing Jia ◽  
Guijuan Li ◽  
Zhenshan Wang
Keyword(s):  
Physical Parameters ◽  
Scaled Model ◽  
Theoretical Simulation ◽  
Active Sonar ◽  
Fluctuation Intensity ◽  
Characterization Model ◽  
Novel Method ◽  
Underwater Target ◽  
Echo Features ◽  
Synthetic Target

Discriminating a real underwater target echo from a synthetic echo is a key challenge to identifying an underwater target. The structure of an echo envelope contains information which closely relates to the physical parameters of the underwater target, and the characterization and extraction of echo features are problematic issues for active sonar target classification. In this study, firstly, the high-frequency envelope fluctuation of a complex underwater target echo was analyzed, the envelope fluctuation was characterized by the envelope fluctuation intensity, and a characterization model was established. The features of a benchmark model echo were extracted and analyzed by theoretical simulation and sea testing of a scaled model, and the result shows that the envelope fluctuation intensity varies with carrier frequency and azimuth of incident signal, but the echo envelope fluctuation of the synthetic target echo does not present these features. Then, based on the characteristics of echo envelope fluctuation, a novel method was developed for active sonar discrimination of a real underwater target echo from the synthetic echo. Through a sea experiment, the real target echo and synthetic echo were classified by their different echo envelope fluctuations, and the feasibility of the method was verified.

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