Academic journal article Journal of Digital Information Management

Research on Color Consistency for Color Marketing in Network Transaction System Based on Color Management

Academic journal article Journal of Digital Information Management

Research on Color Consistency for Color Marketing in Network Transaction System Based on Color Management

Article excerpt

1. Introduction

With the rapid development of electronic business, color consistency has become increasingly important in electronic marketing. As a indispensable image input device for electronic business system, color consistency of digital camera has developed into a research focus in related fields. Increasing concern is directed toward the problem of color distortion in the process of transference and reproduction of color images between different type equipment. This is partly because the reproduced color images are expected to manifest the actual colors of the originals, but what is more important is the fact that the color images carry increasing amounts of information to be transferred and presented in accurate digital color signals in order for the receivers to use correctly. However, the colors are related to specific equipments. For instance, the color space that represents the color characteristics of color scanner is the RGB (Red, Green, Blue) space that follows the imaging principle of additive process, while the one that represents the color characteristics of scanning image is the YMC (Yellow, Magenta, Cyan) space that follows the principle of subtractive process. Both RGB space and YMC space depends on their respective equipment materials and it is difficult to transform directly between them or to print images that are identical with the actual effects on the scanner. Consequently, control and transformation of the colors in the process of transference and reproduction of color images between different types of equipments has become one of the most difficult and pivotal techniques as well as one of the research hotspots.

The major task of color management is to solve the question of transforming images between different color spaces with the view to minimize the distortion during the whole duplication process. The basic approach involves three steps: first, a referential color space independent of equipments is selected; second, the equipment are characterized; finally, a relationship between the color space of each equipment and the referential color space independent of any equipment is established to provide a definite approach for data files when transferring between different equipments. The main focus here is to study the realization of precise transformation between the YMC space that is dependent on equipments and the XYZ space that is independent through the means of digital camera color management. The XYZ color space mentioned is a universal standard color space that is independent of equipments recommended by CIE [1] [2].

The color management of color scanner has three main methods currently. One, establish the relations between digital motivation value of scanner's color sensor and color tristimulus value by measuring a series of color samples, and set up color look-up tables or fitting color transfer curve by interpolation method. This method directly uses the numerical calculation for the color calculation without regard to the coloration mechanism of the scanner. The accuracy of the algorithm depends on the selection of color block because the improper selection of color block causes great error easily. Its proper selection also depends on the number of color block. The error is great while the number is small; otherwise, the algorithm efficiency is too low. Besides, such algorithm currently uses the scanner attached or takes the color blocks produced by certain rules as the experimental samples. Because these experimental samples can not represent the whole color space to cause bad accuracy of the model, they can be only used for the occasions that are not important. Two, analyze the scanner's coloration mechanism, establish its color model, and calculate its color shown through the derivation of the model.

This method contributes to the understanding of the scanner's coloration mechanism and the reduction of the measurement number of color samples, but it is usually more difficult to calculate. …

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