Microtext Rendering via Selective Pixel Removal
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Solution Overview
Problem
Conventional printing technologies face challenges in efficiently rendering tiny text, particularly microtext, due to issues such as dot gain, which affects legibility, security features, and overall document quality.
Innovation Solution
The method involves selectively removing pixels from characters, particularly non-line pixels, and rendering them in a user space equivalent to device space, which includes processes like forcing pixel positions, scaling, and rotation to optimize text rendering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of moving object
If conventional printing methods are used to render tiny text, then text size can be reduced, but dot gain increases and legibility deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-processing the text image before printing to predict and compensate for dot gain. The system calculates expected dot gain based on print conditions and modifies the original image accordingly, so that when dot gain occurs during printing, the text remains legible. This involves analyzing the text image, determining dot gain characteristics, and creating a corrected image that anticipates the printing distortion.
Solution Approach 2:
The patent employs parameter changes by adjusting image parameters (such as dot size, spacing, and density) based on predicted dot gain characteristics. The system modifies the text image parameters in advance to counteract the expected ink spread, thereby maintaining text legibility despite the physical constraints of printing tiny text where dot gain is more pronounced.
2Quantity of substance
If text size is reduced to increase information density, then more information can be printed, but text becomes unreadable without magnification
Solution Approach 1:
The patent applies local quality by applying different processing techniques to different parts of the text image. Specifically, it preserves the original image quality in regions where legibility is critical while applying dot gain compensation and other enhancements in regions where information density is prioritized. This allows the text to maintain readability in key areas while achieving high information density overall.
Solution Approach 2:
The system performs preliminary analysis to identify which portions of the text require enhanced legibility versus which portions can be optimized for density. By pre-processing the image to maintain critical readability features while compressing less critical information, the system achieves both high information density and adequate readability without requiring magnification.
3Reliability
If specialty imaging techniques are added to documents for security, then security measures are improved, but document space is consumed
Solution Approach 1:
The patent merges the security imaging features with the main text content by integrating them into the same rendering process. Instead of adding separate security layers that consume additional space, the system embeds security characteristics (such as dot gain patterns, text rendering variations) directly into the text itself, allowing security features to coexist with content without significant space penalty.
Solution Approach 2:
The patent makes the text rendering system multi-functional by simultaneously achieving information delivery, security verification, and space efficiency through a single integrated process. The text image is processed to contain both readable content and security features (dot gain compensation patterns, embedded verification data) in the same space, eliminating the need for separate security elements that would consume additional document area.
Data Source
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AI summary
Methods and systems for defining characters, can involve selectively removing pixels from one or more characters and rendering a character with a user space equivalent to a device space. Multiple abutting non-line pixels can be removed among the pixels from the character(s). Furthermore, the character(s) including the multiple abutting non-line pixels as expected for the character(s) can be created prior to prior to selectively removing the pixels from the character(s). This approach can avoid partially marked pixels by setting user space equal to device space and then selectively removing pixels when printing microtext. Selective pixel removal allows for more white space and better recognition of characters such as, for example, "8" and "E".