Color Adjustment Using Object-Specific Conversion Tables
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Solution Overview
Problem
The complexity of determining and setting color adjustments using multiple color conversion profiles in color management systems for printers makes it inconvenient to achieve desired color reproduction, especially when dealing with mixed RGB and CMYK image data and varying object types.
Innovation Solution
A color adjustment method that uses a combination of conversion tables to convert input image data to output CMYK values, including a first table for device-independent color space conversion and a second table tailored to specific object types, with a third table for color adjustment based on predetermined conditions, allowing for easy selection of CMYK values for output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple color conversion profiles are used to improve color reproduction accuracy for different object types, then color reproduction accuracy is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent segments the color conversion process into distinct object-type-specific conversion tables (first conversion table for images, second conversion table for text, third conversion table for graphics). Each table is optimized for its specific object type, allowing accurate color conversion without requiring the user to manually configure multiple general-purpose profiles. The segmentation is implemented through automatic object type detection and corresponding table selection.
Solution Approach 2:
The system performs self-service by automatically detecting the object type of input data and selecting the appropriate conversion table without requiring user intervention. The color adjustment apparatus autonomously determines which conversion table to use based on object type information, eliminating the need for users to manually determine and set color adjustments for different object types.
2Measurement precision
If multiple color conversion profiles are used to improve color reproduction accuracy, then color reproduction accuracy is improved, but ease of operation worsens
Solution Approach 1:
The system automatically detects object types and selects appropriate conversion tables without requiring user configuration. Users simply input data with object type information, and the system handles the complex selection and application of appropriate color conversion tables autonomously, making the operation as convenient as using a single profile while maintaining accuracy benefits of multiple profiles.
Solution Approach 2:
The color adjustment apparatus provides universal functionality by handling multiple object types (images, text, graphics) through a unified system that automatically adapts to different object types. Instead of requiring separate manual configuration processes for each object type, the system universally applies the appropriate conversion table based on automatic object type detection, simplifying user operation across diverse input types.
3Measurement precision
If object type information is included in image data to improve color reproduction, then color reproduction accuracy is improved, but device complexity increases
Solution Approach 1:
The system segments color conversion into object-type-specific tables, where each table handles a particular object type (image, text, graphic). This segmentation allows the system to use simple, dedicated conversion logic for each object type rather than complex general-purpose profiles, reducing overall system complexity while improving accuracy for each specific object type.
Solution Approach 2:
Object type information serves as an intermediary that bridges input data and the appropriate conversion table. This intermediary element enables automatic routing of data to the correct conversion table without requiring complex analysis or user intervention, simplifying the overall system architecture while enabling accurate object-type-specific color conversion.
Data Source
AI summary
Disclosed is a color adjustment method including color converting to obtain output CMYK values corresponding to an object indicated by input image data from the input image data by using a color conversion table for converting the input image data to the output CMYK values which is created on the basis of an output device profile. The color adjustment method further includes color adjusting to obtain adjusted CMYK values from the output CMYK values by using a color adjustment table for converting the output CMYK values to the adjusted CMYK values, the color adjustment table is created on the basis of a third conversion table for converting the color value indicating the coordinate in the device-independent color space to the adjusted CMYK values and the first conversion table.