Spring-primary mapping: a fast color mapping method for primary adjustment and gamut mapping

Zeng, Huanzhao

doi:10.1117/12.639919

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…Gamut Mapping Algorithms (GMA) define the process for determining how to map input device gamut colors to output device gamut colors, in an attempt to preserve the original appearance of the target image. There are many techniques utilized for gamut mapping; however, none of them are globally satisfactory in producing pleasing color, contrast, lightness, chroma, and hue across all images and devices [33,34,35,36,37,38,1].…”

Section: Gamut Mapping Strategiesmentioning

confidence: 99%

Print engine color management using customer image content

Elliot

Cockburn

2010

2010 Western New York Image Processing Workshop

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The production of quality color prints requires that color accuracy and reproducibility be maintained to within very tight tolerances. Variations in the printing process commonly produce color shifts that result in poor color reproduction. The primary function of a color management system is maintaining color quality and consistency. Currently these systems are factory tuned by printing a large set of test color patches, measuring them, and making necessary adjustments. This time-consuming procedure should be repeated as needed once the printer leaves the factory. In this work, a color management system that compensates for print color shifts in realtime using feedback from an in-line full-width sensor is proposed. Instead of printing test patches, this novel attempt at color management utilizes the output pixels already rendered in production pages, for a continuous printer characterization. The printed pages are scanned in-line and the results are utilized to update the process by which colorimetric image content is translated into engine specific color separations (e.g. CIELAB->CMYK). The proposed system provides a means to perform automatic printer characterization, by simply printing a set of images that cover the gamut of the printer. Moreover, all of the color conversion features currently utilized in production systems (such as Gray Component Replacement, Gamut Mapping, and Color Smoothing) can be achieved with the proposed system.

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Section: Gamut Mapping Strategiesmentioning

confidence: 99%

Print engine color management using customer image content

Elliot

Cockburn

2010

2010 Western New York Image Processing Workshop

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Determination of Gamut Boundary Description for multi-primary color displays

Ouyang¹,

Huang²

2007

Opt. Express

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Displays with a larger color gamut to represent the images of the small color gamut are emphasized in the display development trend recently. Resulting from the vigorous development of Light Emitting Diodes (LEDs), the solutions to enlarge the color gamut which is formed a polygon area by adding multiple primary colors are possible, easier and inexpensive considerably. Therefore, how to determine the Gamut Boundary Description (GBD) plays a significant role for the applications of the multiple primary color displays, where the primaries form a convex polygon in CIE xy space. The paper proposed a method to construct the three-dimension color volume of GBD from the two-dimension polygon gamut area precisely regardless of that how many multiple primary colors the displays have. The method is examined in detail by the simulations and experiments, and proved it to fulfill from tri-primary color device to Nprimary color device.

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Spring-primary mapping: a fast color mapping method for primary adjustment and gamut mapping

Cited by 2 publications

References 10 publications

Print engine color management using customer image content

Print engine color management using customer image content

Determination of Gamut Boundary Description for multi-primary color displays

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