The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 05, 2006

Filed:

Nov. 13, 2001
Applicants:

Michael J. Piatt, Dayton, OH (US);

Terry Wozniak, Springfield, OH (US);

Joseph P. Mangan, Granger, IN (US);

Inventors:

Michael J. Piatt, Dayton, OH (US);

Terry Wozniak, Springfield, OH (US);

Joseph P. Mangan, Granger, IN (US);

Assignee:

Eastman Kodak Company, Rochester, NY (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 1/40 (2006.01);
U.S. Cl.
CPC ...
Abstract

A system and method are provided for linearizing the tone scale of individual colors in a multi-color printing system, by deriving a prescribed tone scale of individual colors in a single or multi-color printing system. Full linear ink gradations are printed on multiple substrates, and a linearization table is generated with multiple points for each of the multiple substrates and/or ink gradations. A polynomial curve is fitted to the points of each linearization table to generate polynomial curves. At least one point in the polynomial curves is selected, that shows high variation from one curve to a next curve, and coefficients of a group of polynomial curves are plotted as functions of the value of the at least one point. The range of prediction can be as narrow or as broad as an application requires. Finally, a prescribed tone scale table is derived from the polynomial curves and the at least one point. A measured set of values can be compared against a predefined database, and the most applicable transformation is then selected. The data can be corrected to any suitable curve shape.


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