Ink Density Adjustment for Fabric Bleeding Suppression
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Inkjet printing on fabrics like T-shirts results in ink bleeding along the grooves formed by the fabric's surface irregularities, leading to blots and quality deterioration, as existing methods fail to effectively address this issue.
Innovation Solution
An image data processing system that selects notice pixels, calculates color-difference vectors, and adjusts ink density based on the direction of ink movement on the fabric, reducing the ink density where it's most likely to bleed, thereby minimizing blots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If black ink is used to recreate black color, then black color quality is improved, but ink bleeding along fabric grooves increases
Solution Approach 1:
The patent applies local quality by differentiating treatment between pixels based on their specific characteristics. It identifies 'notice pixels' that are likely to cause bleeding (those with high color difference from neighbors and high density) and applies density reduction only to these specific pixels, while leaving other pixels unchanged. This localized approach maintains black color quality where needed while preventing bleeding in problematic areas.
Solution Approach 2:
The patent changes the ink density parameter selectively for notice pixels. By calculating color-difference vectors and determining density reduction values based on directional components and total density values, the system adjusts the ink density parameter dynamically for specific pixels, reducing it from high density to a reduced density level to prevent bleeding while maintaining color accuracy.
2Object-affected harmful factors
If ink density is reduced for all pixels, then ink bleeding is suppressed, but color accuracy and contrast deteriorate
Solution Approach 1:
The patent avoids uniform density reduction by implementing local quality differentiation. It calculates color-difference vectors for each pixel and identifies only those pixels with significant color differences from their neighbors as 'notice pixels.' Density reduction is applied exclusively to these notice pixels, while other pixels maintain their original density values, thus preserving overall color accuracy and contrast.
Solution Approach 2:
The patent segments the image pixels into different categories: notice pixels that require density reduction and non-notice pixels that do not. This segmentation is achieved through color-difference vector calculation and directional component analysis, allowing selective density adjustment only for the subset of pixels that are prone to bleeding, thereby maintaining color accuracy for the majority of pixels.
3Measurement precision
If color-difference vector calculation is performed for all pixels, then bleeding prediction accuracy is improved, but processing time increases
Solution Approach 1:
The patent segments the pixel processing into two stages: first calculating color-difference vectors for all pixels to identify candidates, then performing more intensive analysis (directional component calculation, density reduction value determination) only for notice pixels. This segmentation reduces the overall processing burden while maintaining high prediction accuracy for the critical subset of pixels that actually require density adjustment.
Solution Approach 2:
The patent applies partial action by performing complete analysis only for notice pixels rather than all pixels. It uses a preliminary color-difference threshold to identify notice pixels, then applies the full multi-step analysis (directional component calculation, total density value calculation, density reduction value determination) only to this subset, reducing processing time while maintaining accuracy for the critical cases.
Data Source
AI summary
In an image data processing device, a notice pixel is selected from among a plurality of pixels constituting an image. A specified direction in which ink ejected on a recording medium would bleed by a relatively large amount on the recording medium is obtained. Then, a color-difference vector indicative of the magnitude and direction of a color-difference between the notice pixel and neighboring pixels disposed adjacent thereto is calculated, and a directional component which is a component of the color-difference vector in the specified direction is calculated. Further, a total density value which is a sum of the density value of the notice pixel and density values of the neighboring pixels is calculated, and a density reduction value is determined according to the directional component and the total density value. Then, the density value of the notice pixel is reduced by an amount represented by the density reduction value.