Decorative Sheet Color Matching for Analog-to-Digital Printing
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Solution Overview
Problem
Existing methods for manufacturing decorative panels face challenges in transitioning from analog to digital printing, leading to color changes during heat or press treatments, necessitating extensive color match operations and increased costs.
Innovation Solution
A method involving hyperspectral measurement to create a digital copy of an analog printed decorative image, comparing color profiles before and after predetermined operations, and adjusting the digital image to achieve a similarity index above a threshold, thereby optimizing the conversion process and reducing the need for additional color matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If digital printing technique is used to convert analog decorative image, then flexibility and productivity are improved, but color accuracy deteriorates due to color shifts during heat/press treatment
Solution Approach 1:
The method performs preliminary color measurement and image adjustment before the actual printing process. By measuring the color profile of the analog decorative image and pre-adjusting the digital image to compensate for expected color shifts during heat/press treatment, the system ensures color accuracy is maintained throughout the manufacturing process, resolving the contradiction between digital printing flexibility and color accuracy.
Solution Approach 2:
The method implements a feedback loop by measuring the color profile of the printed decorative image both before and after heat/press treatment. The system compares the color profiles, calculates the color shift, and uses this feedback to iteratively adjust the digital image until the color accuracy threshold is met, thereby maintaining manufacturing precision while utilizing digital printing's productivity advantages.
2Manufacturing precision
If extensive color match operations are performed to correct color shifts, then color accuracy is improved, but time consumption and costs increase
Solution Approach 1:
The method replaces manual, iterative color matching operations with an automated computational system. By using algorithms to calculate color profiles, determine color shifts, and automatically adjust digital images, the system achieves high color match accuracy without the time-consuming manual trials and errors that traditionally characterized color matching processes.
Solution Approach 2:
The method systematically changes image parameters (color values, brightness, saturation) based on measured color profiles and calculated shifts. By automating the adjustment of these parameters through computational algorithms rather than manual intervention, the system rapidly achieves accurate color matching while minimizing time loss, directly addressing the contradiction between precision and time consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach minimizes color shifts and reduces the number of trials required, enhancing the accuracy and efficiency of the conversion from analog to digital printing, thus reducing production interruptions and costs.
Implementation Method 1
performing at least a hyperspectral measure on said first decorative image, thereby obtaining a first color profile
Data Source
AI summary
A method for manufacturing a decorative sheet may involve providing a first printed substrate having a first decorative image printed using an analog printing technique. A digital copy of the first decorative image may be acquired to obtain a first master image. A first color profile of the first decorative image may be obtained. The first master image may be printed on a second substrate using a digital printing technique to form a second decorative image. A second color profile of the second decorative image may be obtained. The first and the second color profiles may be compared to determine a similarity index. If the similarity index is below a threshold value, then an image processing operation may be performed to obtain a second master image. The first and the second printed substrates may be subjected to a predetermined operation.