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3D Gamut Comparison between Image and Device for Gamut Mapping

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This paper proposes a simple and easy method for 3D gamut comparison between image and device. In the previous paper, we reported 3D I-D GMA (Image-to-Device Gamut Mapping Algorithm) is a best way to make the appearance matching between display and print images. A quick decision whether each pixel is located at inside of the device gamut or not, is necessary to execute 3D I-D GM . In this paper, both 3D image and device gamut shells are shaped as polygon meshes in the segmented discrete polar angle ( i , φ j ) by extracting the most outside points from the random color distributions of source image. The image and device gamut boundaries are quickly compared between polar angle segments and the pixels located at the outside of device gamut are automatically separated. 3D I-D GMA has been executed by mapping the image color points into the inside of device gamut shell referencing to the surface points on the corresponding polar segments.

A variety of image gamut shapes are compared with that of inkjet printer and experimental results in 3D Image-to-Device GMA are reported.

Document Type: Research Article

Publication date: January 1, 2001

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  • For more than 25 years, NIP has been the leading forum for discussion of advances and new directions in non-impact and digital printing technologies. A comprehensive, industry-wide conference, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems, including drop-on-demand ink jet, wide format ink jet, desktop and continuous ink jet, toner-based electrophotographic printers, production digital printing systems, and thermal printing systems, as well as the engineering capability, optimization, and science involved in these fields.

    Since 2005, NIP has been held in conjunction with the Digital Fabrication Conference.

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