Color Conversion Table Corrector Excluding Specific Areas
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Solution Overview
Problem
Existing color conversion table correction methods reduce color reproducibility and productivity, as they require detecting specific images for pattern matching during each image formation process.
Innovation Solution
A color conversion table corrector that obtains data from a print image and a captured image, excluding a specific area, to correct the color conversion table based on the print image and target data, thereby maintaining original color conversion for critical areas while adjusting for other areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If color conversion table correction is performed using the entire captured image, then color reproducibility is improved, but productivity is reduced due to required pattern matching detection
Solution Approach 1:
The captured image is divided into multiple regions, with the background region excluded from color conversion table correction. Only the foreground object region undergoes correction, eliminating the need for pattern matching while maintaining color accuracy for the actual subject.
Solution Approach 2:
The background region is extracted and removed from the correction process. By taking out the unnecessary background area, the system avoids wasting computational resources on pattern matching and color correction for areas that should maintain their original appearance.
2Measurement precision
If color conversion table is corrected based on color sample, then color matching accuracy is improved, but color reproducibility of corporate colors is reduced
Solution Approach 1:
Different regions of the image receive different treatments: the foreground object region undergoes color conversion table correction for accurate color matching, while the background region maintains original color conversion. This local differentiation preserves corporate colors in the background while achieving accurate color matching for the main subject.
Data Source
AI summary
A color conversion table corrector corrects a color conversion table used in an image data generation device, and the color conversion table corrector includes a hardware processor that: obtains data related to a print image; obtains first target data based on a first captured image obtained by capturing an image of a first color matching target corresponding to the print image; decides a specific area, in the first captured image, which is not used to correct the color conversion table; and corrects the color conversion table according to the data related to the print image and the first target data based on the first captured image excluding the specific area.