Automated Color Data Conversion for Missing Spectral and Printing Order Information

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Solution Overview

Problem

The existing color data conversion processes for digital printing require manual user intervention to identify and supplement missing data, particularly spectral characteristic data and printing order data, which hinders automation and increases the complexity for users without knowledge of analog printing.

Innovation Solution

A method and device that automatically identify and supplement missing spectral characteristic data and printing order data using a computer-based system, analyzing submitted data to convert spot color data into compatible digital printing data without user operation, employing various spectral characteristic calculation methods and neural networks for accurate data supplementation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual user intervention is used to identify and supplement missing spectral characteristic data and printing order data, then data accuracy can be ensured, but automation is hindered and user complexity increases

Engineering Contradiction:

Improvedata accuracyVSAvoidautomation level

Core Design Contradiction:

Measurement precisionVSExtent of automation

Solution Approach 1:

The system performs self-service by automatically analyzing submitted data to identify missing spectral characteristic data and printing order data, then supplementing this data without requiring manual user intervention. The computer executes automated processes including data analysis, identification of insufficient data, and supplementation using stored spectral characteristic data and calculation methods.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary action by pre-storing spectral characteristic data of patches in a database and preparing multiple spectral characteristic calculation methods in advance. When data conversion is needed, the system can immediately utilize these pre-prepared resources to supplement missing data without requiring users to manually gather or calculate this information.

Inventive Principle:

Principle #10Preliminary action

2Reliability

If manual user operation is required to supplement missing data, then data completeness can be achieved, but processing time increases

Engineering Contradiction:

Improvedata completenessVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system automatically determines whether essential data is included in submitted data and supplements missing spectral characteristic data and printing order data without requiring manual user operation. This self-service approach ensures data completeness while eliminating the time users would spend manually identifying and supplementing missing information.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system replaces the mechanical manual operation of data supplementation with an automated computer-based process. The computer analyzes submitted data, identifies missing essential data, and supplements it using automated algorithms and pre-stored data, thereby eliminating the time-consuming manual process while ensuring data completeness.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If users without analog printing knowledge attempt to supplement printing order data, then data accuracy may be compromised, but system accessibility decreases

Engineering Contradiction:

Improvedata accuracyVSAvoiduser accessibility

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The system performs self-service by automatically determining whether printing order data is included in submitted data and supplementing this data without requiring user intervention. This eliminates the need for users to have specialized knowledge of analog printing while ensuring data accuracy through automated analysis and supplementation processes.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The computer acts as an intermediary between the user and the complex data supplementation process. Instead of requiring users to directly supplement printing order data, the system automatically performs this task, mediating the complexity away from the user and ensuring accurate data completion regardless of user expertise level.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11778124B2Color data conversion method, color data conversion device, and non-transitory computer-readable recording medium recording color data conversion program

Publication Date: 2023.10.03 SCREEN HOLDINGS CO LTD

AI summary

A computer analyzes submitted data to identify insufficient data among data necessary for executing C×F color conversion process. When spectral characteristic data of a patch constituting a C×F chart is insufficient, a computer supplements the spectral characteristic data. When complete printing order data has not been obtained, the computer supplements printing order data. The color conversion process is performed using the data after supplement.