Reduced ICC Table for Printing Color Management

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Solution Overview

Problem

Current methods for color control in multicolor printing operations are inefficient due to excessive memory requirements and complexity, particularly when using ICC profiles, which become disproportionate with more than four colors, and existing solutions either reduce accuracy or do not effectively manage the relevance of color combinations in the printing process.

Innovation Solution

A method that reduces redundant sampling points in n-dimensional orthogonal grids by isolating n−1-dimensional partial grids for process color combinations, modifying sampling points to achieve an even distribution, and reintegrating them to create a reduced ICC table for optimized color management, allowing for more efficient memory usage and improved accuracy in color transformation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the number of sampling points in ICC profiles is increased to improve color transformation accuracy, then measurement precision is improved, but memory space requirements increase disproportionately

Engineering Contradiction:
Improvecolor transformation accuracyVSAvoidmemory space
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent divides the n-dimensional orthogonal grid into multiple (n-1)-dimensional partial grids based on process color combinations. Each partial grid represents a specific color combination and contains only the sampling points relevant to that combination, thereby segmenting the overall data structure to reduce total memory requirements while maintaining accuracy for each specific color transformation.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent extracts and removes redundant sampling points from the complete n-dimensional grid by identifying and eliminating points that are not needed for accurate color transformation in specific process color combinations. This extraction reduces the total number of sampling points stored in memory while preserving the essential color transformation data.

Inventive Principle:
Principle #2Taking out (Extraction)

2Quantity of substance

If the number of sampling points is reduced to decrease memory space, then device complexity is reduced, but measurement precision deteriorates

Engineering Contradiction:
Improvememory spaceVSAvoidcolor transformation accuracy
Core Design Contradiction:
Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent applies different sampling densities to different regions of the color space based on local requirements. By organizing data into partial grids for specific process color combinations, the system maintains high sampling density where needed (for accurate color reproduction) and reduces density where less critical, achieving local optimization of both memory usage and measurement precision.

Inventive Principle:
Principle #3Local quality

3Device complexity

If a simple ICC table structure is used to reduce device complexity, then ease of operation is improved, but measurement precision deteriorates for multicolor printing

Engineering Contradiction:
ImproveICC table structureVSAvoidcolor reproduction accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent segments the ICC table structure into multiple partial grids, each corresponding to a specific process color combination. This segmentation allows the system to maintain a relatively simple overall structure while incorporating detailed sampling points where necessary, achieving a balance between structural simplicity and color reproduction accuracy for multicolor printing.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS10389917B2Method for optimized color control in a printing machine
Publication Date: 2019.08.20 HEIDELBERGER DRUCKMASCHINEN AG
  • US10389917B2 patent drawing
  • US10389917B2 patent drawing
  • US10389917B2 patent drawing

AI summary

A method for printing on a printing machine with color space transformation using tables formed of n-dimensional orthogonal grids includes printing and colorimetrically measuring a test chart in a target color space providing measured values corresponding to sampling points in the color space, interpolating between the sampling points to determine further sampling points, and using existing sampling points to create an ICC table for color space transformation between target and process color spaces. A computer isolates combinations of n−1-dimensional partial grids for process color combinations from grids of the table in the process color space. Partial grids are converted into two-dimensional segments. Sampling points of segments are modified, removing nonrequired sampling points and distributing sampling points in the partial grid. The partial grids are reintegrated into the grid and color management of the printing operation and the printing operation using the reduced ICC table occurs.