Scanned Image Color Gamut Mapping With Region-Specific Correction
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Solution Overview
Problem
Existing technologies fail to address the issues of color degradation and color reproduction, as existing technologies do not effectively address the needs of color degradation and maintain color appearance, and maintain color appearance, depending on the user and environment.
Innovation Solution
An information processing apparatus that maps colors to a print color gamut to reduce color degradation by determining whether an image is a read original and selectively adjusting conversion parameters for different partial areas, using a gamut mapping table to correct color conversion processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color conversion processing is performed to map colors to a print color gamut, then color reproduction accuracy is improved, but color degradation increases
Solution Approach 1:
The image is divided into multiple partial areas, and different conversion parameters are applied to each partial area. This segmentation allows the system to optimize color conversion for different regions, reducing overall color degradation while maintaining color reproduction accuracy.
Solution Approach 2:
Different conversion parameters are assigned to different partial areas of the image based on local characteristics. This local quality approach ensures that each region undergoes appropriate color conversion tailored to its specific properties, minimizing color degradation in each area while maintaining global color reproduction accuracy.
2Ease of operation
If uniform color conversion parameters are applied to the entire image, then processing simplicity is maintained, but color appearance consistency deteriorates
Solution Approach 1:
The system dynamically adjusts conversion parameters for different partial areas of the image. Instead of using fixed uniform parameters, the conversion parameters are adapted to local image characteristics, enabling the system to maintain color appearance consistency across different regions while preserving processing efficiency.
3Measurement precision
If color conversion is performed on all images regardless of source, then color reproduction is standardized, but processing efficiency decreases
Solution Approach 1:
The system performs preliminary determination of whether an image is a read original before executing color conversion processing. This preliminary action allows the system to apply color conversion only when necessary, maintaining color reproduction standardization for read originals while improving processing efficiency by avoiding unnecessary conversions for other image types.
Data Source
AI summary
A setting unit sets a first partial area and a second partial area in a first image. A conversion unit, in a case where the first image is determined to be an image obtained by scanning the printed image, executes color conversion processing for converting a first color, which is included in the first image and is defined by a first color gamut, into a second color, which is defined by a second color gamut. A first correction unit corrects a conversion parameter in the color conversion processing such that a color obtained by converting the first color is a color different from the second color. The first correction unit corrects, for the first partial area, the conversion parameter and corrects, for the second partial area, the conversion parameter.