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:
Dec. 12, 1995

Filed:

Feb. 14, 1994
Applicant:
Inventor:

Keiichi Yamana, Kanagawa, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01J / ; G03B / ;
U.S. Cl.
CPC ...
356404 ; 355 77 ;
Abstract

A gray balance correcting method in which the deterioration of color balance correcting capacity can be avoided for an image photographed under different kinds of light sources, such that the influence of failure can be eliminated. An image recorded on a negative film is divided into a large number of regions. Density values of C, M and Y in the respective regions are measured. Maximum and minimum reference values for the C, M and Y colors are calculated based on the measured density values D. Then, conversion correlation coefficients, for the respective colors, are calculated to make values, after conversion of the reference values of the respective colors, coincident with D.sub.max and coincident with D.sub.min. The measured density values of C, M and Y are converted by using the conversion correlations determined from the calculated coefficients. In another embodiment, only maximum values are used as reference values. In yet another embodiment, the converted measured density values are plotted on color coordinates. Then, averages in a predetermined region S containing a line L passing through the maximum and minimum converted reference values, D.sub.max and D.sub.min, are calculated based on the distribution plotted on the color coordinates. Conversion correlations of the respective colors are corrected according to curves of secondary degree P.sub.C and P.sub.Y passing through D.sub.max, D.sub.min and the average of the density values. The C, M and Y measured values are then converted again by using the corrected conversion correlations.


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