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Proceedings Paper

Spectral reproduction from scene to hardcopy: I. Input and output
Author(s): Francisco Hideki Imai; Mitchell Rosen; Dave Wyble; Roy S. Berns; Di-Yuan Tzeng
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Paper Abstract

Efforts to construct end-to-end color reproduction systems based on the preservation of scene spectral data have been underway at the Munsell Color Science Laboratory. The goal is to present hardcopy results which are spectrally matched to original colors. The evaluated approach consists of capturing scenes through a trichromatic digital camera combined with multiple filterings followed by an image processing stage and then four-color printing. The acquisition end is designed to estimate original scene spectra on a pixel-by-pixel basis based on system characteristics which takes into account the camera sensitivities as modulated by the filterings followed by an image processing stage and then four-color printing. The acquisition end is designed to estimate original scene spectra on a pixel-by-pixel basis based on system characterizations which takes into account the camera sensitivities as modulated by the filterings an scene colorant make-up. The spectral-based printing used in this research is able to produce the least metameric reproduction to the original scene using a computationally feasible approach. Results show a system accuracy of mean (Delta) E*94 of 1.5 and spectral reflectance rms error of 0.9 percent.

Paper Details

Date Published: 15 May 2001
PDF: 12 pages
Proc. SPIE 4306, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications II, (15 May 2001); doi: 10.1117/12.426971
Show Author Affiliations
Francisco Hideki Imai, Rochester Institute of Technology (United States)
Mitchell Rosen, Rochester Institute of Technology (United States)
Dave Wyble, Rochester Institute of Technology (United States)
Roy S. Berns, Rochester Institute of Technology (United States)
Di-Yuan Tzeng, Applied Science Fiction (United States)


Published in SPIE Proceedings Vol. 4306:
Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications II
Nitin Sampat; Morley M. Blouke; John Canosa; John Canosa; Nitin Sampat, Editor(s)

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