A Color Management Model for Color Sensors of Liquid Crystal Display

2010 ◽  
Vol 428-429 ◽  
pp. 394-397
Author(s):  
Xin Wu Li
Keyword(s):  
Liquid Crystal ◽  
Ant Colony Algorithm ◽  
Color Image ◽  
Liquid Crystal Display ◽  
Color Space ◽  
Ant Colony ◽  
Management Model ◽  
Color Management ◽  
Experimental Sample ◽  
Color Target

Color management for liquid crystal display is one of the key techniques in the color image reproduction. A new color management model is presented based on overcoming flaws and limitations of current ways of liquid crystal display color management . First, the paper takes standard color target for experimental sample, and substitutes color blocks in color shade district for complete color space. Second, data collecting method is introduced and some data bases for deducing the model are created. Then, ant colony algorithm is corrected to speed up model’s convergence and a new model for liquid crystal display color management based on improved ant colony algorithm is deduced and analyzed. Finally the experimental results show that the model can improve color management accuracy of liquid crystal display and can be used in its color management practically.

A Color Error Correction Mode for Digital Camera

2010 ◽  
Vol 44-47 ◽  
pp. 3706-3710
Author(s):  
Han Kun Ye
Keyword(s):  
Color Space ◽  
Digital Camera ◽  
Color Management ◽  
Experimental Sample ◽  
Color Target ◽  
Polynomial Curve ◽  
Engineering Requirement ◽  
Color Error ◽  
Image Production ◽  
Color Conversion

Digital camera is the one of the main devices in the computer and multimedia technology and its color management model is the key to guarantee the color consistency in the succedent image production and transfers. The paper presents a color conversion model for digital camera based on polynomial curve generation. First, color rendering principle of digital camera is analyzed. Then digital camera data is pretreated to a unitary field to deduce final model. Third, standard color target is taken for experimental sample and substitutes color blocks in color shade district for complete color space to solve the difficulties of experimental color blocks selecting; Fourth, the model using polynomial curve generation algorithm to correct color error is deduced; Finally, the realization and experiment results show that, compared with some methods which have relatively high accuracy, the algorithm can improve color conversion accuracy and can satisfy the engineering requirement in digital camera color management

Research on Color Control for Color Scanner

2010 ◽  
Vol 121-122 ◽  
pp. 797-800
Author(s):  
Xin Wu Li
Keyword(s):  
Color Image ◽  
Color Space ◽  
Control Model ◽  
Experimental Sample ◽  
Color Target ◽  
Image Reproduction ◽  
Color Error ◽  
Color Control ◽  
Color Scanner ◽  
Control Accuracy

Color control for color Scanner is a key and difficult technique in Computer color image reproduction. After analyzing rendering principle of color scanner a new color control model based on subsectional fitting is preseed. First, The paper analyzes the color error source of scanner in theory; Then standard color target is taken for experimental sample to substitute color blocks in color shade district for complete color space to solve the difficulties of experimental color blocks selecting; Third the model for correcting color error is deduced; Finally the experimental results show that the model can improve scanner color control accuracy and can be used in scanner color control practically.

Study on Color Space Conversion Based on RBF Neural Network

2010 ◽  
Vol 174 ◽  
pp. 28-31 ◽  
Author(s):  
Cong Jun Cao ◽  
Qiang Jun Liu
Keyword(s):  
Neural Network ◽  
Rbf Neural Network ◽  
Color Space ◽  
Color Management ◽  
Color Target ◽  
Color Space Conversion ◽  
Fast Training ◽  
Testing Data ◽  
Modeling Data ◽  
Target Data

The conversions of color spaces are core techniques of modern ICC color management and the study of color space conversion algorithm between L*a*b* and CMYK is valuable both in theory and in application. In this paper, firstly ECI2002 standard color target data are uniformly selected, including modeling data and testing data; secondly the models of color space conversions from CMYK to L*a*b* and from L*a*b* to CMYK are built based on Radial Basis Function (RBF) neural network; finally the precision of the models are evaluated. This research indicates that the RBF neural network is suitable for the color space conversions between CMYK and L*a*b*. The models’ building processes are simpler and more convenient; the network has fast training speed and good results. With the improvement of the modeling method, this method for color space conversion will have a broader application.

A Color Management Method for Photographed Image Files

2012 ◽  
Vol 461 ◽  
pp. 615-619
Author(s):  
Han Kun Ye
Keyword(s):  
Bp Neural Network ◽  
Color Space ◽  
Color Management ◽  
Sampled Data ◽  
Color Target ◽  
Engineering Requirement ◽  
Management Method ◽  
Image Production ◽  
Color Conversion ◽  
Bp Model

Color management method for photographed image files is the key to guarantee the color consistency in the succedent image production. Based on machine learning a new color management method for photographed image is advanced in the paper. First, the method selects the color shade districts of IT/8 color target as experiment sample and is taken to stand for the color space to decrease the calculation of the model. Second the method pretreats sampled data to a unitary field to satisfy the scope requirement of the input and output data of the BP neural network. Third, the active item which can adjust BP model step dynamically is used to increase convergence speed of the BP model. Finally, the experimental results indicates that the method can improve color conversion accuracy and can satisfy the engineering requirement in color management for photographed image files.

A Study of Grid Resource Management Model Based on Ant Colony Algorithm

2011 ◽  
Vol 211-212 ◽  
pp. 918-924
Author(s):  
Xian Chun Zou ◽  
Yan Ma ◽  
Ning Song
Keyword(s):  
Resource Management ◽  
Food Source ◽  
Ant Colony Algorithm ◽  
Resource Discovery ◽  
Ant Colony ◽  
Management Model ◽  
Grid Resource ◽  
Discovery Method ◽  
Grid Resources ◽  
Grid Resource Discovery

This paper analyzes grid resources organization, elaborates on the fundamental principles of the Ant Colony Algorithm, and proposes a grid resource discovery method based on the Ant Colony Algorithm. We consider users request ontology as ants, take search resource as food, and food source is the node of search target. The process of ants to find food is similar to the process of discovery grid resources.

Research on Color Reproduction on the Internet Based on Profile Embedding

2015 ◽  
Vol 731 ◽  
pp. 53-56
Author(s):  
Ya Nan Zhang ◽  
Mao Hai Lin
Keyword(s):  
Color Image ◽  
Subjective Evaluation ◽  
Color Difference ◽  
Management Model ◽  
Color Management ◽  
Color Reproduction ◽  
Web Browser ◽  
Before And After ◽  
Result Show ◽  
Network Transmission

People put forward higher requirements for color consistency in color images network transmission at this stage. Aim to the problem of poor color reproduction in color image network transmission, in this paper, based on the analysis of a variety of commonly used Web browser color management model, digital image device profiles are embedded to images are compared and analyzed. The effect of color reproduction that digital images are displayed at monitor and mobile device is measured. Color difference and color gamut are measured before and after embedded profile. A more comprehensive solution that ensure color consistency in the network is proposed through quantitative measurement and subjective evaluation. The experiment result show that the management model that embedded profile has a good compatibility. A true network color management is realized.

Modeling and Analysis for Optimization Mode of City Bus Operator Scheduling Management

2014 ◽  
Vol 513-517 ◽  
pp. 3220-3223
Author(s):  
Yu Jie Liu
Keyword(s):  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Traditional Scheduling ◽  
Management Model ◽  
Modeling And Analysis ◽  
City Bus ◽  
Scheduling Model ◽  
Bus Operator ◽  
Scheduling Management ◽  
Route Scheduling

This paper proposes a bus route scheduling management model based on Ant Colony Optimization and traditional scheduling model. It optimizes the existing bus route scheduling management model according to Ant Colony algorithm, enhances the performance of both Ant Colony algorithm and the traditional scheduling model, and improves the optimal performance of the combining algorithm. The experiment results show that, the proposed algorithm can effectively deal with the bus route scheduling management, and the optimization result obtained is obviously better than the traditional algorithms. Furthermore, it solve the problems exist in the traditional algorithms, therefore has great application value.

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