Further evaluation of methods for producing desired colors on CRT monitors

Post, David L.; Calhoun, Christopher S.

doi:10.1002/(sici)1520-6378(200004)25:2<90::aid-col4>3.0.co;2-s

Cited by 44 publications

(14 citation statements)

References 8 publications

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“…[20][21][22] Similarly, methods for monitor-printer matching, gamut mapping, and evaluation of color reproduction quality have been proposed. [23][24][25][26][27] We use the method we previously described 28 to obtain the function f. This method uses models of the display devices using CIE LAB as the intermediate space between the device native color spaces. A block diagram of the method is shown in Figure 6.…”

Section: Analytical Transformations Using Device Modelsmentioning

confidence: 99%

Color Management Using Optimal Three-Dimensional Look-Up Tables

Srivastava¹,

Delp²,

Ha³

et al. 2010

jist

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Digital imaging has seen an unprecedented growth in the past five years. The variety of imaging systems available to users to create and view visual data is enormous. Color management has become an important aspect of modern imaging and display systems. Color profiles have been the de facto tool for achieving faithful visual reproduction for a long time. In this article, the authors discuss issues associated with profile-based color management systems. The authors describe an alternative approach motivated by the problem of visually matching two known display devices. The authors use a model-based method to achieve this goal and propose realizing the method with simple table look-up operations. The authors devise a framework for designing look-up tables (LUTs) which are optimal in terms of color reproduction on the displays based on resource constraints. The LUT-based color management system is shown to be more accurate and memory-efficient than a comparable International Color Consortium profile-based system.

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Section: Analytical Transformations Using Device Modelsmentioning

confidence: 99%

Color Management Using Optimal Three-Dimensional Look-Up Tables

Srivastava¹,

Delp²,

Ha³

et al. 2010

jist

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“…The larger errors are localized around the border of the RGB cube. This is not surprising because it is at these places that there is more failure in the additivity properties of the display (see Section 2 and references [1][2][3] ). This is illustrated with Figure 8 which shows spheres centered on the color which sizes are proportional to the error of the inverse model for the ProjectorLCD1, for each plane, RG, RB and GB.…”

Section: Error For This Device a 20mentioning

confidence: 99%

“…The Piecewise Linear interpolation assuming Variation in Chromaticities (PLVC) display characterization model has been defined by Post and Calhoun, 1 and studied in [1][2][3] for CRT technology. It has been shown that good results can be achieved.…”

Section: Introductionmentioning

confidence: 99%

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

Thomas¹,

Colantoni

Hardeberg

et al. 2008

SPIE Proceedings

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We have defined an inverse model for colorimetric characterization of additive displays. It is based on an optimized three-dimensional tetrahedral structure. In order to minimize the number of measurements, the structure is defined using a forward characterization model. Defining a regular grid in the device-dependent destination color space leads to heterogeneous interpolation errors in the device-independent source color space. The parameters of the function used to define the grid are optimized using a globalized Nelder-Mead simplex downhill algorithm. Several cost functions are tested on several devices. We have performed experiments with a forward model which assumes variation in chromaticities (PLVC), based on one-dimensional interpolations for each primary ramp along X, Y and Z (3 × 3 × 1 − D). Results on 4 devices (2 LCD and a DLP projection devices, one LCD monitor) are shown and discussed.

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“…Thereafter, the tristimulus values, CIEXYZ or CIELAB, are estimated through a linear transformation using a matrix. [3][4][5][6][7] After the conversion process from a device dependent color space to device independent color space, color data from two devices can be mapped using gamut mapping algorithms based on compression and clipping methods. The goal of gamut mapping is improved color reproduction, which needs to be evaluated by the human eye without reference.…”

Section: Introductionmentioning

confidence: 99%

User-Configured Monitor-to-Printer Color Reproduction

Jang¹,

Kyung²,

Ha³

et al. 2011

jist

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Every type of color imaging device has its own color reproduction method, providing color characteristic information. Thus, a color management system with an ICC profile is generally used to reproduce colors between two different color imaging devices, for example, from a monitor to a printer. However, once the ICC profile of a device is measured and stored, it usually remains unchanged. Yet, a user can sometimes control the monitor configuration, such as the color temperature, contrast, and brightness, according to their preference, thereby changing the color characteristics of the monitor. In addition, typical end user's viewing condition is not matched to standard environment. In this case, if the user then prints an image on the monitor screen, the color of the printed image will not match the color displayed on the monitor screen, as the color characteristics of the ICC profile provided by the monitor manufacturer will no longer represent the user-configured color characteristics of the monitor. Therefore, this article proposes a method for user-configured monitor-to-printer color reproduction based on an estimation of the monitor characteristics under user's monitor configuration and viewing condition. First, the color characteristics according to change of monitor configuration is measured and modeled for the red-green-blue (RGB) chromaticity and tone curve. Second, to estimate the color characteristics of the user's monitor, color matching between a printed color chart and a reproduced color chart image on the monitor screen by soft proofing is accomplished. The RGB chromaticity and tone curve models are used in a soft proofing process for adjusting the monitor's color characteristics. After color matching, color characteristics of the user's monitor are then obtained. Finally, the monitor to printer color reproduction is evaluated based on the color characteristics obtained for the monitor. Experimental results using the proposed method show that the printed images have almost the same colors as the images on the real user-configured monitor screen.

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Further evaluation of methods for producing desired colors on CRT monitors

Cited by 44 publications

References 8 publications

Color Management Using Optimal Three-Dimensional Look-Up Tables

Color Management Using Optimal Three-Dimensional Look-Up Tables

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

User-Configured Monitor-to-Printer Color Reproduction

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