User-Configured Monitor-to-Printer Color Reproduction

Jang, In-Su; Kyung, Wang-Jun; Ha, Yeong-Ho; Kim, Kyeong-Man

doi:10.2352/j.imagingsci.technol.2011.55.2.020506

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…To solve this challenge, we developed a color management system that defines an "Absolute Colorimetric" profile to separate eight ink cartridges into eight independent channels (C 1 , M 1 , Y 1 , K 1 , C 2 , M 2 , Y 2 , and K 2 ) that can create a one-toone correspondence map between the "percent value" of each color in an image and the "printing volume" of each channel. 33,34 Most importantly, we developed a "Multichannel Combiner" function to merge two carefully designed CMYK images…”

Section: Nano Lettersmentioning

confidence: 99%

Inkjet Printing Assisted Synthesis of Multicomponent Mesoporous Metal Oxides for Ultrafast Catalyst Exploration

et al. 2012

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We describe an inkjet printing assisted cooperative-assembly method for high-throughput generation of catalyst libraries (multicomponent mesoporous metal oxides) at a rate of 1,000,000-formulations/hour with up to eight-component compositions. The compositions and mesostructures of the libraries can be well-controlled and continuously varied. Fast identification of an inexpensive and efficient quaternary catalyst for photocatalytic hydrogen evolution is achieved via a multidimensional group testing strategy to reduce the number of performance validation experiments (25,000-fold reduction over an exhaustive one-by-one search).

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Section: Nano Lettersmentioning

confidence: 99%

Inkjet Printing Assisted Synthesis of Multicomponent Mesoporous Metal Oxides for Ultrafast Catalyst Exploration

et al. 2012

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“…Display devices, in particular, can show different results based on the time and content displayed. Under such environments, images captured by a digital camera should be mapped onto a 3D facial avatar with the same color appearance as that of the real object [10]. To solve this problem, the color management should be defined throughout all processes.…”

Section: Spectrum-based Color Reproduction Algorithm For Makeup Simulmentioning

confidence: 99%

“…into two approaches: the use of a tone curve model and linear interpolation [10]. The gain-offset-gamma (GOG) model and S-curve model are representative model-based methods.…”

Section: Linear Conversion By 3×3 Matrixmentioning

confidence: 99%

Spectrum‐Based Color Reproduction Algorithm for Makeup Simulation of 3D Facial Avatar

Jang¹

2013

ETRI Journal

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Various simulation applications for hair, clothing, and makeup of a 3D avatar can provide more useful information to users before they select a hairstyle, clothes, or cosmetics. To enhance their reality, the shapes, textures, and colors of the avatars should be similar to those found in the real world. For a more realistic 3D avatar color reproduction, this paper proposes a spectrum‐based color reproduction algorithm and color management process with respect to the implementation of the algorithm. First, a makeup color reproduction model is estimated by analyzing the measured spectral reflectance of the skin samples before and after applying the makeup. To implement the model for a makeup simulation system, the color management process controls all color information of the 3D facial avatar during the 3D scanning, modeling, and rendering stages. During 3D scanning with a multicamera system, spectrum‐based camera calibration and characterization are performed to estimate the spectrum data. During the virtual makeup process, the spectrum data of the 3D facial avatar is modified based on the makeup color reproduction model. Finally, during 3D rendering, the estimated spectrum is converted into RGB data through gamut mapping and display characterization.

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