Image Color Mapping Control for Consistent Tint Across Regions

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Solution Overview

Problem

Existing image processing systems fail to prevent colors from becoming different across regions during mapping, leading to color degeneration and misinterpretation in printed documents.

Innovation Solution

An image processing apparatus that dynamically performs gamut mapping and color degeneration correction, identifying color variation reduction targets based on in-page likelihood and controlling color conversion to maintain consistent tint across regions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If color degeneration correction is applied to increase distance between colors in gamut mapping, then color differentiation is improved, but color consistency across regions deteriorates

Engineering Contradiction:
Improvecolor differentiationVSAvoidcolor consistency
Core Design Contradiction:
Measurement precisionVSStability of the object's composition

Solution Approach 1:

The patent applies different correction strategies to different color regions based on their characteristics. Colors with high in-page likelihood (appearing in multiple regions) are excluded from correction to maintain consistency, while other colors undergo correction to improve differentiation. This local differentiation resolves the contradiction by applying quality control selectively rather than uniformly across all colors.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The correction process is made dynamic by calculating in-page likelihood for each color and adaptively determining which colors to correct and which to preserve. The system dynamically adjusts the correction behavior based on the specific color distribution and characteristics of each input document, allowing optimal balance between differentiation and consistency for different scenarios.

Inventive Principle:
Principle #15Dynamics

2Adaptability or versatility

If gamut mapping is performed to convert colors to printer color gamut, then color reproduction capability is improved, but color accuracy deteriorates due to color degeneration

Engineering Contradiction:
Improvecolor reproduction capabilityVSAvoidcolor accuracy
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent extracts and identifies colors with high in-page likelihood that are susceptible to degeneration, then excludes them from correction processing. By separating these critical colors from the general correction process, the system maintains their original accurate mapping while allowing other colors to undergo correction for improved reproduction capability.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system changes the correction parameter (correction application) based on the in-page likelihood parameter of each color. Colors with high likelihood have correction disabled, while others have correction enabled, allowing the system to adapt the color accuracy versus reproduction capability balance dynamically based on color characteristics.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If correction is applied to all colors to reduce degeneration, then overall color quality is improved, but processing complexity increases

Engineering Contradiction:
Improveoverall color qualityVSAvoidprocessing complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

Instead of applying correction to all colors (excessive action), the patent applies correction only to colors with low in-page likelihood (partial action). This selective approach reduces processing complexity by focusing computational resources only on colors that benefit from correction, while maintaining overall color quality through targeted intervention.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The system automatically identifies and categorizes colors based on their in-page likelihood characteristics, enabling self-service classification without manual intervention. This automation reduces the complexity burden by having the system autonomously determine which colors require correction, eliminating the need for complex manual configuration or analysis.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20250392680A1Image processing apparatus, method, and storage medium storing program
Publication Date: 2025.12.25 CANON KK
  • US20250392680A1 patent drawing
  • US20250392680A1 patent drawing
  • US20250392680A1 patent drawing

AI summary

An image processing apparatus includes: a setting unit configured to, on a basis of the information indicating a characteristic of the color information of the first color gamut obtained by the second obtaining unit, set color information corresponding to a target for suppressing correction by the correction unit from among the color information of the first color gamut obtained by the first obtaining unit; and a control unit configured to control the correction unit to suppress correction of color information set by the setting unit.