Trained Model for Print Gradation Correction Decisions

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Solution Overview

Problem

Existing methods for addressing pseudo contours in gradation expressions require significant processing time and user intervention, with varying effectiveness depending on worker judgment, and lack efficient automated prediction of color gradation correction application.

Innovation Solution

An information processing system utilizing a trained neural network model to predict the application of color gradation correction based on input information, including print job details, to automate the decision-making process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If gradation correction process is applied to all manuscripts, then pseudo contour problem is addressed, but processing time increases and effectiveness varies

Engineering Contradiction:

Improvepseudo contour correction effectivenessVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of manuscript characteristics before applying gradation correction. By pre-evaluating factors such as image type, color depth, and content characteristics, the system determines in advance whether correction is necessary, avoiding unnecessary processing time while ensuring effective application when needed.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system applies different processing strategies to different manuscripts based on their specific characteristics. Rather than uniformly applying correction to all documents, it selectively applies correction only to manuscripts that exhibit characteristics indicating pseudo contour risk, thereby optimizing processing time while maintaining correction effectiveness.

Inventive Principle:

Principle #3Local quality

2Measurement precision

If manual determination of correction application is performed, then accuracy depends on worker judgment, but time and effort are required

Engineering Contradiction:

Improvecorrection determination accuracyVSAvoidtime for checking and determining

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs self-evaluation of manuscript characteristics to automatically determine correction application. By independently analyzing factors such as image properties, color information, and document characteristics, the system eliminates the need for manual worker judgment while maintaining accurate determination of when correction is necessary.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system replaces manual human judgment with automated computational analysis. Instead of relying on worker expertise to visually assess and determine correction needs, the system uses algorithmic evaluation of manuscript characteristics to automatically make determination, thereby eliminating time consumption while maintaining consistent accuracy.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If multiple gradation correction methods are used, then different advantages and disadvantages exist, but selective use is required

Engineering Contradiction:

Improvegradation correction method flexibilityVSAvoidmethod selection complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system dynamically selects appropriate gradation correction methods based on real-time analysis of manuscript characteristics. By adapting the correction approach to the specific properties of each manuscript (such as image type, color depth, and content), the system achieves versatile effective correction without requiring complex manual method selection, as the system automatically determines the optimal approach.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20250301093A1Information processing system, non-transitory computer readable medium storing information processing program, and information processing method

Publication Date: 2025.09.25 FUJIFILM BUSINESS INNOVATION CORP

AI summary

An information processing system includes a processor configured to, in a case where input information including print information and information related to generation of the print information is input, input new input information including new print information and information related to generation of the new print information to a trained model that has been trained in advance to output application information related to application of color gradation correction with respect to the print information, thereby outputting the application information corresponding to the new input information.