Printing Characteristic Adjustment With Multi-Region Blur Sensing
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Solution Overview
Problem
Existing methods for adjusting printing characteristics using test patterns are hindered by image blurring due to shaking, rotation, or tilting of the imaging section, leading to inaccurate sensing of blur and ineffective adjustment.
Innovation Solution
A printing system and method that utilizes multiple blur sensing regions positioned to sandwich a straight line through the imaging target region and test pattern, allowing accurate determination of image blur by sensing both regions, ensuring the test pattern is not blurred before adjusting printing characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single blur sensing region is used to detect image blur, then the device complexity is reduced, but the measurement precision of blur detection deteriorates because the imaging section may be shaken in ways that do not affect the single sensing region
Solution Approach 1:
The imaging target region is divided into multiple blur sensing regions (first, second, and third regions) positioned at different locations. Each region independently detects blur in its local area, and the control section综合 processes signals from all regions to determine overall image blur, thereby improving detection accuracy without excessive complexity increase
Solution Approach 2:
The blur sensing regions are strategically positioned to sandwich a straight line passing through the center of the imaging target region and the test pattern. This spatial arrangement creates multiple detection dimensions, allowing the system to detect various types of shaking (rotation, tilting, linear movement) that would be missed by a single sensing region
2Measurement precision
If multiple blur sensing regions are positioned to sandwich the test pattern, then the measurement precision of blur detection is improved, but the device complexity increases due to additional sensing regions and processing requirements
Solution Approach 1:
Different blur sensing regions are assigned specific positional relationships to the test pattern (sandwiching arrangement around a straight line through the center). Each region has a specialized detection function based on its location, optimizing the overall detection precision while maintaining a manageable number of sensing regions
Solution Approach 2:
The multiple blur sensing regions collectively serve multiple detection functions: detecting rotation, tilting, and linear shaking of the imaging section. By positioning regions to sandwich the test pattern, a single system configuration achieves universal detection capability for various shaking types without requiring separate detection mechanisms
Data Source
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AI summary
The medium has an imaging target region having a test pattern and multiple blur sensing regions used to sense a shake of an imaging section, the multiple blur sensing regions including a first blur sensing region and a second blur sensing region. The first and second blur sensing regions are located at positions where the two blur sensing region sandwich at least one of a straight line passing through a center of the imaging target region and the test pattern. The control section is configured to acquire an image of the imaging target region from the imaging section, sense whether the first blur sensing region included in the image is blurred and whether the second blur sensing region included in the image is blurred, and determine that the test pattern included in the image is not blurred when the control section senses that none of the first and second blur sensing regions is blurred.