Dynamic Screen Type Adjustment for Image Quality Consistency
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Solution Overview
Problem
Image forming apparatuses experience deterioration in image quality over time due to component deviations or aging, leading to noise and jitter in printouts, which existing technologies fail to effectively address by dynamically adjusting halftone information.
Innovation Solution
The image forming apparatus identifies image-quality state information through sensors and adjusts the type of screen based on this data, changing from high LPI to low LPI or vice versa to minimize noise and jitter, and updates screen types upon consumable replacement or environmental changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If halftone information is fixed without dynamic adjustment, then device complexity is reduced, but image quality deteriorates over time due to component aging and environmental changes
Solution Approach 1:
The patent implements dynamic adjustment of halftone information by changing screen types (LPI values) based on detected image-quality state. The system transitions from static halftone settings to dynamic adaptation, allowing the image forming apparatus to respond to component aging and environmental changes by selecting appropriate screen types from multiple candidates, thereby maintaining consistent image quality over time.
Solution Approach 2:
The patent employs feedback mechanisms where image-quality state information is detected through sensors or calculations, processed to determine quality degradation, and used to trigger halftone information changes. This closed-loop feedback system continuously monitors image quality and adjusts halftone parameters accordingly, resolving the contradiction between fixed simplicity and adaptive reliability.
2Reliability
If screen type is changed frequently to adapt to image quality changes, then image quality is maintained, but productivity decreases due to additional adjustment operations
Solution Approach 1:
The patent implements periodic monitoring of image-quality state information at predetermined intervals rather than continuous adjustment. The system detects image quality at specific time points, determines whether changes are necessary, and adjusts halftone information accordingly. This periodic approach balances image quality maintenance with operational efficiency by avoiding unnecessary frequent adjustments.
Solution Approach 2:
The patent changes discrete parameters (screen types with different LPI values) rather than continuously adjusting halftone settings. By selecting from a finite set of predefined screen types, the system maintains image quality through parameter switching rather than frequent continuous adjustments, reducing operational overhead while preserving printout uniformity.
3Manufacturing precision
If high LPI screen is used for detailed images, then manufacturing precision is improved, but noise and jitter increase when components age
Solution Approach 1:
The patent dynamically changes the LPI parameter of screen types based on detected image-quality state. When components are new and stable, high LPI screens provide detailed image resolution. When component aging or environmental changes cause quality degradation, the system switches to lower LPI screen types that are more tolerant of variations, thereby reducing noise and jitter while maintaining acceptable image quality.
Solution Approach 2:
The patent makes the screen type selection dynamic rather than fixed, allowing the system to adapt between high LPI (for detail) and low LPI (for noise reduction) based on real-time image-quality conditions. This dynamic parameter adjustment resolves the contradiction between manufacturing precision and harmful factors by selecting the appropriate screen characteristic for current operating conditions.
Data Source
AI summary
An example operation method of an image forming apparatus includes forming a test image with respect to a pattern used for diagnosing an image-quality state of a printout output by the image forming apparatus, obtaining a test signal corresponding to the test image via a sensor of the image forming apparatus, obtaining image-quality state information indicating an image-quality state of the test image based on the test signal corresponding, identifying a type of a screen corresponding to halftone information indicating a resolution of the printout based on the image-quality state information, and performing a first image forming operation according to the type of the screen.