Printing Characteristic Adjustment With Multi-Region Blur Sensing
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Solution Overview
Problem
Existing printing systems face challenges in accurately determining the blur of a test pattern used for printing characteristic adjustment due to shaking, rotation, or tilting of the imaging section, leading to inconsistent image quality.
Innovation Solution
A printing system with a recording head that forms a test pattern on a medium, an imaging section to capture the pattern, and a control section that uses multiple blur sensing regions to determine if the imaging section is stable, ensuring the test pattern is not blurred by analyzing first and second blur sensing regions located strategically relative to the imaging target region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single blur sensing region is used to detect image shake, then the device complexity is reduced, but the measurement precision of blur detection deteriorates because rotation or tilting around the sensing region center may not be properly detected
Solution Approach 1:
The blur sensing function is segmented into multiple independent sensing regions (first, second, third, and fourth blur sensing regions) positioned at different locations around the imaging target region. Each region independently evaluates blur in its local area, and the control section综合processes these multiple evaluations to determine overall image quality, thereby improving detection accuracy without requiring a single complex sensing mechanism
Solution Approach 2:
The solution transitions from a single-point blur detection approach to a multi-dimensional spatial distribution of blur sensing regions. By positioning sensing regions at multiple locations (including diagonal positions) around the imaging target region, the system captures blur information across different spatial dimensions, enabling comprehensive detection of rotation, tilting, and shaking that would be missed by a single sensing point
2Reliability
If multiple blur sensing regions are positioned to sandwich the imaging target region, then the reliability of blur determination is improved by detecting various shake patterns, but the device complexity increases due to additional sensing regions and processing requirements
Solution Approach 1:
The blur sensing system is divided into multiple independent sensing regions positioned strategically around the imaging target region. Each region independently evaluates local blur conditions, and the control section processes these segmented evaluations to make a comprehensive determination, improving reliability through distributed sensing
Solution Approach 2:
Multiple blur sensing regions are merged into a unified evaluation system where the control section integrates information from all sensing regions to determine overall image quality. The first, second, third, and fourth blur sensing regions work together as a coordinated system, combining their individual assessments to achieve reliable blur determination
Solution Approach 3:
Each blur sensing region provides feedback about local image quality conditions to the control section. The control section processes this feedback from multiple regions and uses it to determine whether the captured image is suitable for printing characteristic adjustment, creating a feedback loop that ensures reliable quality assessment
Data Source
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.